Brain structure, working memory and response inhibition in childhood leukemia survivors
Open accessAbstract
Introduction: Survival rates for children with acute lymphoblastic leukemia (ALL) approach 95%. At the same time, there is growing concern that chemotherapy causes alterations in brain development and cognitive abilities. We performed MRI measurements of white and gray matter volume to explore how variation in brain structure may be related to cognitive abilities in ALL survivors and healthy controls. Methods: The sample included 24 male ALL survivors who had completed contemporary treatment 3–11 years prior, and 21 age‐ and sex‐matched controls. Participants were between 8 and 18 years old. Working memory and motor response inhibition were measured with the N‐Back and Stop Signal Tasks (SST), respectively. Participants underwent 3T structural MRI to assess white and gray matter volumes overall, lobe‐wise, and in cortical and atlas‐identified subcortical structures. Mental health was assessed with the Child Behavioral Checklist. Results: ALL survivors performed more poorly on measures of working memory and response inhibition than controls. Frontal and parietal white matter, temporal and occipital gray matter volume, and volumes of subcortical white and gray matter structures were significantly reduced in ALL survivors compared with controls. Significant structure‐function correlations were observed between working memory performance and volume of the amygdala, thalamus, striatum, and corpus callosum. Response inhibition was correlated with frontal white matter volume. No differences were found in psychopathology. Conclusions: Compared with controls, a reduction in volume across brain regions and tissue types, was detectable in ALL survivors years after completion of therapy. These structural alterations were correlated with neurocognitive performance, particularly in working memory. Confirming these observations in a larger, more representative sample of the population is necessary. Additionally, establishing the time course of these changes—and the treatment, genetic, and environmental factors that influence them—may provide opportunities to identify at‐risk patients, inform the design of treatment modifications, and minimize adverse cognitive outcomes.
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Written from the paper’s full text.
TL;DR
ALL survivors had poorer working memory and response inhibition and widespread lower regional gray/white matter volumes years after chemotherapy-only treatment compared with controls. Structural differences correlated with working memory, especially amygdala, thalamus, striatum, and corpus callosum volumes.
Key findings
- Working memory was lower in survivors on the 1-back (84.3 vs 93.3, 9.6% lower, p = .0009) and 2-back (60.3 vs 74.2, 18.7% lower, p = .01), with no group difference on 0-back. Response inhibition was slower in survivors (SSRT 307.3 vs 244.0 ms, a 26.0% increase, p < .01).
- MRI showed reduced frontal white matter (left −6.5%, right −6.4%), right parietal white matter (−5.8%), temporal/occipital gray matter (right −5.6% and −6.6%; left occipital −6.4%), 11 of 29 subcortical white matter structures lower by 5%–12%, and 4 of 10 subcortical gray matter structures lower: right amygdala −7.4%, right thalamus −4.8%, left globus pallidus −6.9%, left striatum −6.3%.
- 1-back accuracy correlated with right amygdala volume (r = .51, q = 0.03), right/left thalamus (r = .39/.35, q = 0.09/0.1), left striatum (r = .34, q = 0.1), and total corpus callosum (r = .35, p = .02). Response inhibition correlated with right frontal white matter volume (r = −.31, p = .04, uncorrected).
- No significant group differences were found in CBCL/YSR psychopathology, and no significant changes were observed in MT or DTI measurements.
Methods
- Case-control study: final analyzed sample was 23 male ALL survivors and 21 age-, sex-, and ancestry-matched controls, ages 8–18, of European ancestry, treated with chemotherapy only and at least 2 years off treatment; the abstract reports 24 survivors. Mean age was 14.4 years (SD = 2.2) for survivors and 13.9 years (SD = 2.9) for controls; mean age at diagnosis was 4.4 years (SD = 1.8), and mean time since diagnosis was 10.0 years (SD = 2.5).
- Measures included 3T structural MRI (T1, DTI, MT), N-back working memory, Stop Signal Task response inhibition, and CBCL/YSR mental health. Image analysis used CIVET/FSL, atlas-based subcortical segmentation, and deformation-based morphometry.
- Analyses used generalized linear models or linear regression with age and group as predictors, age-corrected scores for visualization/correlations, Pearson correlations for structure–function relationships, and FDR q-values to account for multiple comparisons.
Limitations
- Stated: the study included only males of European ancestry, so results may not represent females or other ancestries; the sample was not intended to distinguish high- versus standard-risk treatment protocols; only working memory and inhibition were assessed; a larger, more representative sample is needed.
- Stated: most survivors were diagnosed between 2 and 6 years of age, so a larger targeted cohort is needed to assess older age at diagnosis; age at diagnosis, years since diagnosis, and treatment intensity were not correlated with age-adjusted total brain volume, white matter, or gray matter.
- Evident from the text: the sample is small and cross-sectional, many anatomical comparisons use q < 0.1, some correlations are uncorrected, and the abstract/final analyzed survivor count differs (24 vs 23).
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Cites
Statistics
Claims the paper makes
32 of 74 cited sources checked · 11 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Detailed characterization of region-specific changes associated with chemotherapy treatment remains scant.
“Thirdly, while global changes in tissue volumes have been reported (Krull et al., 2016; Reddick et al., 2014; Tamnes et al., 2015), detailed characterization of region‐specific changes associated with chemotherapy treatment remains scant (Genschaft et al., 2013).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Genschaft et al., 2013 source
The Introduction says the authors examined selected brain regions, and the Results (Structural Brain Imaging; page unavailable) report region-specific volume differences. Neither passage assesses whether detailed characterization of chemotherapy-associated regional changes was scarce in the literature. The paper's own regional analysis does not, by itself, settle that broader claim. (LLM, conf=0.70)
Experimental — accuracy not yet measured
- Premisecitation
Available studies often evaluate outcomes in adult survivors of childhood leukemia.
“Firstly, available studies often evaluate outcomes in adult survivors of childhood leukemia (Blaauwbroek et al., 2007; Edelmann et al., 2014; Kanellopoulos et al., 2015; Tamnes et al., 2015; Zeller et al., 2013).”
Quote in the paperSubstantial claim1 of 3 sources checked - Premisecitation
Transient white matter lesions do not show a clear relationship with functional abilities in ALL survivors.
“however, these lesions do not show a clear relationship with functional abilities (Bhojwani et al., 2014; Pääkkö et al., 2000) and are therefore unlikely to account for the full range of deficits in ALL survivors.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Bhojwani et al., 2014 source
The Discussion (page unavailable) says the clinical importance of leukoencephalopathy is unclear and calls for further study of whether it predicts later neurocognitive impairment. That supports the absence of an established relationship, but the paper does not assess functional abilities in survivors or show that transient lesions lack such a relationship. The Results also report that most MRI abnormalities in the followed subset persisted to week 120. (LLM, conf=0.77)
Experimental — accuracy not yet measured - cites Pääkkö et al., 2000
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Children with ALL require treatment at a time when the brain is undergoing major developmental changes.
“Children with ALL require treatment at a time when the brain is undergoing major developmental changes (Dean et al., 2014; Giedd et al., 2010; O'Muircheartaigh et al., 2014).”
Quote in the paperSubstantial claim2 of 3 sources checked - Premisecitation
ALL survivors in late childhood or adolescence may face unique challenges associated with ongoing brain maturation processes.
“Secondly, ALL survivors in late childhood or adolescence may be faced with unique challenges associated with ongoing brain maturation processes (Erus et al., 2015).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Erus et al., 2015 source
The Introduction states that healthy brain maturation continues through childhood and adolescence, and the Discussion says cognitive processes continue to mature in adolescence. The Participants section describes a youth sample that excluded individuals with medical histories potentially affecting brain function; the paper does not establish that ALL survivors face unique challenges from these processes. Page numbers are unavailable in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
Regional differences in developmental time course are likely to alter regional sensitivity to chemotherapy and its long-term impact.
“For instance, regional differences in developmental time course (e.g., protracted development of the frontal lobes) (Erus et al., 2015; Zatorre, Fields, & Johansen‐Berg, 2012) are likely to alter regional sensitivity to chemotherapy and its long‐term impact.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Erus et al., 2015 source
The Introduction states that brain regions follow temporally distinct maturational trajectories, supporting the claim of regional differences in developmental time course. The Discussion mentions frontal-lobe maturation during adolescence but does not establish the specific example of protracted frontal-lobe development. The chemotherapy implication follows the citations as the citing authors’ inference, rather than a finding attributed to this source. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Zatorre, Fields, & Johansen‐Berg, 2012 source
The citation is attached to the parenthetical claim about regional developmental timing, including protracted frontal-lobe development; the chemotherapy prediction appears to be the citing authors’ inference. The Longitudinal imaging studies section discusses training-related changes and mentions maturation, but does not establish different developmental time courses across regions. Searches for frontal-lobe developmental timing and chemotherapy found no passage addressing either point (page unavailable). (LLM, conf=0.72)
Experimental — accuracy not yet measured
- Premisecitation
Transient white matter lesions (leukoencephalopathy) due to chemotherapy are well-documented in ALL survivors.
“Transient lesions in the white matter (leukoencephalopathy) due to chemotherapy are well‐documented in ALL survivors (Bhojwani et al., 2014; Reddick, Glass, Johnson, Laningham, & Pui, 2009; Reddick et al., 2005);”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Bhojwani et al., 2014 source
The Results (Incidence of Leukoencephalopathy) document white-matter abnormalities in children treated for ALL, and the Results (Natural History and Risk Factors for Leukoencephalopathy) report complete resolution in 17 of 74 patients followed with serial MRI. But abnormalities remained evident at week 120 in 77% of that subset; the Discussion says longer follow-up is needed to assess resolution. The paper therefore supports the occurrence of treatment-related lesions, but not a general characterization of them as transient in ALL survivors. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites Reddick, Glass, Johnson, Laningham, & Pui, 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Reddick et al., 2005
- Premisecitation
There is some evidence of associations between white matter morphology and measures of attention and intelligence in survivors of childhood ALL.
“with some evidence of associations between white matter morphology and measures of attention and intelligence (Edelmann et al., 2014; Reddick et al., 2014) and motor processing speed (Aukema et al., 2009).”
Quote in the paperSubstantial claim2 of 2 sources checked - Premisecitation
ALL patients are treated with a combination of ~10 different chemotherapy agents through several phases lasting 2-3 years.
“ALL patients are treated with a combination of ~10 different chemotherapy agents through several phases lasting 2–3 years (Inaba et al., 2013; Pui, Robison, & Look, 2008; Pui et al., 2009).”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites Inaba et al., 2013 source
The Treatment section says ALL treatment typically spans 2–2.5 years in three phases and uses combination chemotherapy. It does not specify approximately 10 different agents, and its descriptions of the phases do not establish that number. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Pui, Robison, & Look, 2008 source
- cites Pui et al., 2009 source
The Methods > Treatment passages describe multiple chemotherapy agents given across induction, consolidation, and continuation; continuation lasted 120 weeks for girls and 146 weeks for boys. But this is a study of children with ALL, with treatment varying by risk group, so it does not establish that all ALL patients receive approximately ten agents over 2–3 years. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Premisecitation
Females may be at greater risk for cognitive late effects after cancer treatment.
“On the other hand, females may be at greater risk for cognitive late effects after cancer treatment (Buizer, de Sonneville, & Veerman, 2009; Hudson et al., 2003; Reddick et al., 2014; Waber, Tarbell, Kahn, Gelber, & Sallan, 1992).”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Buizer et al., 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Hudson et al., 2003
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Reddick et al., 2014 source
The Results (Neurocognitive Performance; page unavailable) report that, at comparable white matter volumes, female childhood cancer survivors with smaller volumes had lower IQs than males. This supports a possible female vulnerability, but the finding concerns IQ in relation to white matter volume; it does not establish a greater risk for cognitive late effects generally after cancer treatment. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Premisecitation
In a study on the adverse impact of cranial irradiation on brain structure, brain changes in radiation-treated cancer survivors were very similar to those observed in radiation-treated mice.
“In a study on the adverse impact of cranial irradiation on brain structure, we showed that brain changes in radiation‐treated cancer survivors were very similar to those observed in radiation‐treated mice (Nieman et al., 2015), highlighting the potential of using mice as a representative model.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Nieman et al., 2015 source
- Findingown data
Response inhibition was correlated with frontal white matter volume.
“Response inhibition was correlated with frontal white matter volume.”
Quote in the paperSubstantial claim - Findingown data
ALL survivors performed more poorly on measures of response inhibition than controls.
“ALL survivors performed more poorly on measures of working memory and response inhibition than controls.”
Quote in the paperSubstantial claim - Findingown data
Parietal white matter volume was significantly reduced in ALL survivors compared with controls.
“Frontal and parietal white matter, temporal and occipital gray matter volume, and volumes of subcortical white and gray matter structures were significantly reduced in ALL survivors compared with controls.”
Quote in the paperSubstantial claim - Findingown data
Working memory performance was significantly correlated with corpus callosum volume in the sample.
“Significant structure‐function correlations were observed between working memory performance and volume of the amygdala, thalamus, striatum, and corpus callosum.”
Quote in the paperSubstantial claim - Findingown data
ALL survivors performed more poorly on measures of working memory than controls.
“ALL survivors performed more poorly on measures of working memory and response inhibition than controls.”
Quote in the paperSubstantial claim - Findingown data
Temporal gray matter volume was significantly reduced in ALL survivors compared with controls.
“Frontal and parietal white matter, temporal and occipital gray matter volume, and volumes of subcortical white and gray matter structures were significantly reduced in ALL survivors compared with controls.”
Quote in the paperSubstantial claim - Findingown data
Working memory performance was significantly correlated with striatum volume in the sample.
“Significant structure‐function correlations were observed between working memory performance and volume of the amygdala, thalamus, striatum, and corpus callosum.”
Quote in the paperSubstantial claim - Findingown data
Occipital gray matter volume was significantly reduced in ALL survivors compared with controls.
“Frontal and parietal white matter, temporal and occipital gray matter volume, and volumes of subcortical white and gray matter structures were significantly reduced in ALL survivors compared with controls.”
Quote in the paperSubstantial claim - Findingown data
Volumes of subcortical gray matter structures were significantly reduced in ALL survivors compared with controls.
“Frontal and parietal white matter, temporal and occipital gray matter volume, and volumes of subcortical white and gray matter structures were significantly reduced in ALL survivors compared with controls.”
Quote in the paperSubstantial claim - Findingown data
Working memory performance was significantly correlated with thalamus volume in the sample.
“Significant structure‐function correlations were observed between working memory performance and volume of the amygdala, thalamus, striatum, and corpus callosum.”
Quote in the paperSubstantial claim - Findingown data
Frontal white matter volume was significantly reduced in ALL survivors compared with controls.
“Frontal and parietal white matter, temporal and occipital gray matter volume, and volumes of subcortical white and gray matter structures were significantly reduced in ALL survivors compared with controls.”
Quote in the paperSubstantial claim - Findingown data
Working memory performance was significantly correlated with amygdala volume in the sample.
“Significant structure‐function correlations were observed between working memory performance and volume of the amygdala, thalamus, striatum, and corpus callosum.”
Quote in the paperSubstantial claim - Findingown data
No differences in psychopathology were found between ALL survivors and controls.
“No differences were found in psychopathology.”
- Also stated in: § CBCL · plain
“None of the CBCL categories were significantly different between groups.”
Quote in the paperNot a substantial claim - Also stated in: § CBCL · plain
- Findingown data
Volumes of subcortical white matter structures were significantly reduced in ALL survivors compared with controls.
“Frontal and parietal white matter, temporal and occipital gray matter volume, and volumes of subcortical white and gray matter structures were significantly reduced in ALL survivors compared with controls.”
Quote in the paperSubstantial claim - Findingown data
Median T-scores for DSM-oriented scales in ALL survivors and controls were well within the normal range.
“Median T‐scores for DSM‐oriented scales in ALL survivors and controls were well within the normal range (Figure 3): 30 out of 44 (68%) participants had T scores in the normal range (< 65) on each subscale.”
Quote in the paperNot a substantial claim - Findingown data
ALL survivors had 5.8% smaller right parietal white matter volume than controls.
“ALL survivors also had 5.8% smaller right parietal white matter volume than controls (t (41) = −2.3, q = 0.09)”
Quote in the paperSubstantial claim - Findingown data
ALL survivors showed a general trend for decreased brain region volumes compared to controls.
“We evaluated volume of brain regions using MRI, observing a general trend for decreased volumes in ALL survivors as compared to controls.”
Quote in the paperSubstantial claim - Findingown data
ALL survivors had smaller frontal white matter volume bilaterally (left 6.5%, right 6.4%) than controls.
“Lobe‐wise testing of white matter volume revealed that ALL survivors had smaller frontal white matter volume bilaterally, decreased by 6.5% on the left and and 6.4% right side (t (41) = −2.3, q = 0.09 and t (41) = −2.6, q = 0.09).”
Quote in the paperSubstantial claim - Findingown data
The groups did not differ on MRT.
“The groups did not differ on MRT.”
Quote in the paperNot a substantial claim - Findingown data
None of the YSR categories was significantly different between groups.
“None of the YSR categories was significantly different between groups.”
Quote in the paperNot a substantial claim - Findingown data
Measures of cortical thickness and surface area did not differ between survivors and controls.
“Measures of cortical thickness and surface area did not differ between survivors and controls.”
Quote in the paperNot a substantial claim - Findingown data
ALL survivors had longer SSRT than controls, representing a 26.0% increase in stopping reaction time.
“ALL survivors had longer SSRT (ms) (mean=307.3; SD = 72.7) than did controls (mean = 244.0; SD = 71.2), representing a 26.0% increase in stopping reaction time”
Quote in the paperSubstantial claim - Findingown data
In the 1-back condition, age was significantly associated with accuracy.
“The age coefficient was also significant (t (41)= 3.0, p = .004).”
Quote in the paperNot a substantial claim - Findingown data
In the 0-back condition, target accuracy did not differ significantly between ALL survivors and controls after accounting for age.
“The generalized linear model with 0‐back target accuracy as the outcome variable and age and group (survivor vs. control) as predictor variables showed a significant effect of age (t (41) = 2.8, p = .009), but not for group (t (41) = 0.76, p = .45)”
Quote in the paperNot a substantial claim - Findingown data
On the left side, only the occipital lobe was significantly smaller (−6.4%).
“On the left side, only the occipital lobe was significantly smaller (−6.4%, t (41) = −2.2, q = 0.09).”
Quote in the paperNot a substantial claim - Findingown data
ALL survivors tended to be more variable in response time than controls (SDRT).
“ALL survivors also tended to be more variable in response time than did controls (SDRT).”
Quote in the paperNot a substantial claim - Findingown data
Working memory was deficient in ALL survivors compared with controls in the 1-back and 2-back conditions.
“Working memory was deficient in ALL compared with controls in the 1‐back and 2‐back condition.”
Quote in the paperSubstantial claim - Findingown data
ALL survivors exhibited smaller cortical gray matter volume than controls in the temporal and occipital lobes.
“In addition to white matter volume changes, ALL survivors exhibited smaller cortical gray matter volume than controls in the temporal and occipital lobes”
Quote in the paperSubstantial claim - Findingown data
In the 2-back condition, age was significantly associated with accuracy.
“Subsequently, survivors scored on average of 18.7% lower (mean = 60.3; SD = 17.5) than controls (mean = 74.2; SD = 15.3), with the model showing significant age (t (39) = 3.7, p = .0007) and group (t (39) = −2.6, p = .01) coefficients”
Quote in the paperNot a substantial claim - Findingown data
1-back accuracy was correlated with total corpus callosum volume.
“and total corpus callosum volume (r = .35, t (40) = 2.4, p = .02)”
Quote in the paperNot a substantial claim - Findingown data
Age-corrected SSRT showed some association with right frontal white matter volume (uncorrected).
“Age‐corrected SSRT showed some association with right frontal white matter volume (r = −.31, t (41) = −2.1, p = .04, uncorrected)”
Quote in the paperNot a substantial claim - Findingown data
Age at diagnosis, years since treatment and treatment intensity were not correlated with age-adjusted total brain volume, white matter or gray matter.
“Age at diagnosis, years since treatment and treatment intensity were not correlated with age‐adjusted total brain volume, white matter or gray matter.”
Quote in the paperNot a substantial claim - Findingown data
1-back accuracy was correlated with right amygdala volume.
“Performance on the 1‐back task was correlated with right amygdala volume (r = .51, t (40) = 3.7, q = 0.03)”
Quote in the paperNot a substantial claim - Findingown data
No significant changes in MT or DTI measurements were observed.
“We also did not observe significant changes in MT or DTI measurements.”
Quote in the paperNot a substantial claim - Findingown data
Correlation between working memory and volume was significant for the amygdala, thalamus, striatum, and corpus callosum.
“Correlation between working memory and volume was significant for the amygdala, thalamus, striatum, and corpus callosum.”
Quote in the paperSubstantial claim - Findingown data
Of the 10 gray matter structures tested, 4 were significantly different after correction for multiple comparisons.
“Of the 10 gray matter structures tested, 4 were significantly different after correction for multiple comparisons (across all 39 structures).”
Quote in the paperSubstantial claim - Findingown data
1-back accuracy was correlated with right and left thalamus volume.
“right and left thalamus volume (r = .39 and 0.35, t (40) = 2.7 and 2.4, q = 0.09 and 0.1)”
Quote in the paperNot a substantial claim - Findingown data
1-back accuracy was correlated with left striatum volume.
“left striatum volume (r = .34, t (40) = 2.3, q = 0.1)”
Quote in the paperNot a substantial claim - Findingown data
1-back accuracy was correlated with right and left anterior corona radiata, right hippocampal portion of the cingulum, and right superior longitudinal fasciculus.
“Correlation with the 1‐back task was also observed in the right and left anterior corona radiata (both r = .38, t (40) = 2.7, q = 0.09), the right hippocampal portion of the cingulum (r = .34, t (40) = 2.3, q = 0.1), and the right superior longitudinal fasciculus (r = .35, t (40) = 2.4, q = 0.1).”
Quote in the paperNot a substantial claim - Study design and conductown data
Mean age was not significantly different between ALL survivors and controls.
“Mean age was not significantly different between groups.”
Quote in the paperNot a substantial claim - Interpretationown data
These structural alterations were correlated with neurocognitive performance, particularly in working memory.
“These structural alterations were correlated with neurocognitive performance, particularly in working memory.”
Quote in the paperSubstantial claim - Interpretationown data
Compared with controls, a reduction in volume across brain regions and tissue types was detectable in ALL survivors years after completion of therapy.
“Compared with controls, a reduction in volume across brain regions and tissue types, was detectable in ALL survivors years after completion of therapy.”
Quote in the paperSubstantial claim - Interpretationreasoning
These characteristics may make oligodendrocytes especially sensitive to chemotherapy-induced disruptions of normal cell function.
“These characteristics may make these cells especially sensitive to chemotherapy‐induced disruptions of normal cell function.”
Quote in the paperNot a substantial claim - Study design and conductown data
One ALL survivor (age 17) was identified as having impaired 1-back performance after accounting for age and was excluded as an outlier.
“One ALL survivor (age 17) was identified as having impaired 1‐back performance (z = −3.2) after accounting for age, and was excluded as an outlier (Grubbs test, p = .01) (Grubbs, 1950).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Grubbs, 1950 source
- Interpretationown data
The higher prevalence of volume differences in white matter may indicate increased toxicity there.
“The higher prevalence of volume differences in white matter may indicate increased toxicity there.”
Quote in the paperNot a substantial claim - Interpretationown data
The results are consistent with the idea that altered brain development may drive late effects in childhood ALL survivors.
“Our results are consistent with the idea that altered brain development may drive late effects in childhood ALL survivors.”
Quote in the paperSubstantial claim - Study design and conductnone given
The study included males of European ancestry only.
“Our study included males of European ancestry only.”
Quote in the paperSubstantial claim - Interpretationreasoning
The results shown here are likely not representative of outcomes in females.
“It is likely that the results shown here are not representative of outcomes in females.”
Quote in the paperSubstantial claim - Premisecitation
Sex is known to modulate brain development so that manifestation of late effects at any given age may depend on sex.
“Firstly, sex is known to modulate brain development (De Bellis et al., 2001; Gur et al., 1999; Lange et al., 1997; Kang et al., 2011) so that manifestation of late effects at any given age may depend on sex (Anderson & Kunin‐Batson, 2009; Buizer, de Sonneville, van den Heuvel‐Eibrink, & Veerman, 2005).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
This study complements and extends the existing literature by demonstrating regional and tissue-specific volumetric changes in ALL survivors during late childhood and adolescence.
“This study complements and extends the existing literature by demonstrating regional and tissue‐specific volumetric changes in ALL survivors during late childhood and adolescence, a time when many late effects emerge.”
Quote in the paperSubstantial claim
- May combine two claims. 27
- Classified as probably not a substantial claim. 20
- The quote only partly states this claim. 3
May combine two claims.
PremisecitationALL treatment has changed dramatically since older survivors were diagnosed, with cranial radiation therapy almost entirely replaced by chemotherapy-only protocols.
“ALL treatment has changed dramatically since these older survivors were diagnosed (Pui & Evans, 2013; Simone, 2006): due to concerns of significant neuropsychological effects (Janzen & Spiegler, 2008; Spiegler et al., 2006), cranial radiation therapy has almost entirely been replaced by chemotherapy‐only protocols (Pui & Evans, 2013; Pui et al., 2009).”
Quote in the paperSubstantial claim1 of 3 sources checkedMay combine two claims.
PremisecitationALL is more common in males, and males are given a more extended chemotherapy treatment due to increased risk for relapse.
“ALL is more common in males (National Cancer Institute 2015) and males are given a more extended chemotherapy treatment due to increased risk for relapse (Brecher et al., 1986; Tiedemann, Chessells, & Sandland, 1982; Wofford et al., 1992).”
Quote in the paperSubstantial claim1 of 3 sources checked- cites National Cancer Institute 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Brecher et al., 1986 source
- cites Tiedemann, Chessells, & Sandland, 1982 source
The Introduction says boys with ALL fared worse than girls in some centres, partly because of testicular relapse. The Discussion suggests that more intensive chemotherapy might reduce this difference, and the Abstract describes two years of chemotherapy for boys after isolated testicular relapse. The paper does not say that males generally are given a longer course of chemotherapy than females because of relapse risk. The separately cited claim that ALL is more common in males is not attributed to this source. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationReductions in total white matter volume and increased fractional anisotropy have been reported in adult survivors of childhood ALL.
“Reductions in total white matter volume and increased fractional anisotropy have been reported in adult survivors of childhood ALL (Aukema et al., 2009; Edelmann et al., 2014; Reddick et al., 2014),”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Aukema et al., 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Edelmann et al., 2014 source
The Discussion reports higher fractional anisotropy in multiple fibre tracts of adult survivors than in controls. The Macrostructure section reports reduced white matter fraction in specific lobes, particularly the frontal and temporal lobes, but does not establish a reduction in total white matter volume across the brain. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Reddick et al., 2014 source
The Results (Volumetric Assessment) report reduced white matter volume in cancer survivors, including those treated for ALL. But the Methods (Patients) specify participants aged 6–18, and the Discussion says this study did not measure fractional anisotropy; it reports that other studies found decreased, not increased, fractional anisotropy. Its volume assessment was also limited to a specific anatomical area, rather than the whole brain. (LLM, conf=0.90)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationNeurocognitive and behavioral late effects of childhood ALL treatment include weaknesses in working memory, visual-spatial reasoning, motor coordination, processing speed, and attention.
“Neurocognitive and behavioral late effects include weaknesses in working memory, visual‐spatial reasoning, motor coordination, processing speed, and attention (Campbell et al., 2009; Iyer, Balsamo, Bracken, & Kadan‐lottick, 2015; Jacola et al., 2016; Peterson et al., 2008).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Campbell et al., 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Iyer, Balsamo, Bracken, & Kadan‐lottick, 2015 source
The Working memory, Information processing speed, and Fine motor functioning sections report weaknesses in childhood ALL survivors treated without cranial radiation. The Attention/concentration section reports mixed results and a nonsignificant pooled effect; the Visuoconstruction section does not establish a weakness in visual-spatial reasoning. The cited review therefore supports only part of the list. Page numbers were not available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Jacola et al., 2016 source
The Introduction identifies attention and processing-speed deficits in survivors treated with chemotherapy only, and the Results report attention difficulties and elevated processing-speed risk with higher-intensity treatment. Working memory was assessed, but the paper does not establish the claimed visual-spatial reasoning or motor-coordination weaknesses; its Conclusion says function was largely age appropriate two years after treatment. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA previous lesion study of traumatic brain injury observed that response inhibition was correlated with frontal white matter volume.
“Response inhibition was correlated with frontal white matter volume, consistent with previous observations in a lesion study of traumatic brain injury (Lipszyc et al., 2014).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Lipszyc et al., 2014 source
The Abstract reports that children with frontal white matter lesions had poorer response inhibition, supporting the general connection to a TBI lesion study. But the paper does not report a correlation with frontal white matter volume; the Regression Analysis instead found no significant relationship between response inhibition and total lesion volume. Total lesion volume is not the same measure as frontal white matter volume. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe amygdala, thalamus, striatum, and corpus callosum have been implicated in performance on the N-Back previously.
“These regions have been implicated in performance on the N‐Back previously (Dahlin, Neely, Larsson, Bäckman, & Nyberg, 2008; Kubat‐Silman, Dagenbach, & Absher, 2002; Schaefer et al., 2006; Takeuchi et al., 2010; Zou, Hong, Wang, Gao, & Yang, 2011).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Dahlin et al., 2008 source
- cites Kubat-Silman et al., 2002 source
- cites Schaefer et al., 2006 source
Table 1 (Functional imaging and data analysis; page unavailable) lists both amygdalae among regions correlated with 3-back reaction time. It does not list the thalamus, striatum, or corpus callosum, and the Discussion’s account of other regions associated with performance does not identify them. This source therefore supports the amygdala portion, but not the other three regions attributed to it. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA recent study reported correlations between plasma MTX, cortical thickness in the dorsolateral prefrontal cortex and microstructure of the frontostriatal tract, suggesting that exposure to MTX is related to neuroanatomical changes.
“A recent study reported correlations between plasma MTX, cortical thickness in the dorsolateral prefrontal cortex and microstructure of the frontostriatal tract (Krull et al., 2016), suggesting that exposure to MTX is related to neuroanatomical changes.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Krull et al., 2016 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationOligodendrocytes have a high metabolic rate and must produce large amounts of membranes and protein, particularly during myelination.
“Oligodendrocytes have a high metabolic rate and must produce large amounts of membranes and protein, particularly during myelination (Bradl & Lassmann, 2010).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Bradl & Lassmann, 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe bulk (83%) of our survivors were diagnosed between 2 and 6 years of age.
“However, the bulk (83%) of our survivors were diagnosed between 2 and 6 years of age, which corresponds to the age of peak ALL incidence (Inaba et al., 2013; National Cancer Institute 2015).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Inaba et al., 2013 source
- cites National Cancer Institute 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationcitationSince MTX is delivered through all phases of ALL treatment, folate metabolism may be altered for an extended period, possibly resulting in build-up of homocysteine and/or secondary metabolic alterations.
“Since MTX is delivered through all phases of ALL treatment, folate metabolism may be altered for an extended period, possibly resulting in build‐up of homocysteine (Fox & Stover, 2008; Krull et al., 2016; Li et al., 2010; Steinfeld et al., 2009), and/or secondary metabolic alterations (van der Plas et al., 2015; Steinfeld et al., 2009; Strain et al., 2013).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Fox & Stover, 2008 source
- cites Krull et al., 2016 source
The Appendix treatment schema lists methotrexate in multiple phases of ALL treatment, and the Discussion reports elevated homocysteine during therapy in association with high-dose methotrexate exposure. But the paper does not establish that folate metabolism remains altered for an extended period; the Discussion says treatment-related hyperhomocysteinemia is transient in most cases. The secondary-metabolic-alterations clause is cited to other sources, not Krull et al. Page numbers are unavailable in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Li et al., 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIncidence of ALL is higher in boys than in girls, and boys require longer treatment than girls due to sex-specific risk factors for ALL relapse.
“Secondly, sex modulates disease‐ and treatment‐specific factors: incidence of ALL is higher in boys than in girls (Inaba et al., 2013; National Cancer Institute 2015; Pui & Evans, 2013; Pui et al., 1999; Sather, Miller, Nesbit, Heyn, & Hammond, 1981), and boys require longer treatment (~2.5 years) than girls (~2 years) due to sex‐specific risk factors for ALL relapse (Brecher et al., 1986; Tiedem”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites Inaba et al., 2013 source
- cites National Cancer Institute 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Pui & Evans, 2013 source
Pui and Evans (2013) is cited for the higher incidence of ALL in boys; the separate claim about treatment duration has different citations. The passages from Precise risk stratification and Host pharmacokinetics, pharmacodynamics and pharmacogenetics discuss prognosis and incidence by racial or ethnic group, but not incidence by sex. Searches for boys, girls, male, and male predominance found no passage addressing the cited comparison. (LLM, conf=0.74)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationAncestry is likely to also impact the risk and severity of late effects.
“Similarly, ancestry, which is known to alter both pediatric ALL incidence and survival (Abrahão et al., 2015; Goggins & Lo, 2012; Linabery, Johnson, & Ross, 2012), is likely to also impact the risk and severity of late effects (Bhatia et al., 2002; Dores, Devesa, Curtis, Linet, & Morton, 2012; Lim, Bhatia, Robison, & Yang, 2014; Yang et al., 2010).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Bhatia et al., 2002 source
The Discussion reports racial and ethnic differences in survival and speculates about differences in drug metabolism, but does not address the risk or severity of late effects. The Statistical analysis section defines the outcomes as overall and event-free survival, not late effects; searches for late effects, long-term complications, and treatment toxicity found no passage supporting the attributed point. Page numbers were not available in our copy. (LLM, conf=0.74)
Experimental — accuracy not yet measured - cites Dores et al., 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Lim et al., 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAncestry is known to alter both pediatric ALL incidence and survival.
“Similarly, ancestry, which is known to alter both pediatric ALL incidence and survival (Abrahão et al., 2015; Goggins & Lo, 2012; Linabery, Johnson, & Ross, 2012), is likely to also impact the risk and severity of late effects (Bhatia et al., 2002; Dores, Devesa, Curtis, Linet, & Morton, 2012; Lim, Bhatia, Robison, & Yang, 2014; Yang et al., 2010).”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites Abrahão et al., 2015 source
The Introduction says inherited genetic predisposition may differ across racial/ethnic groups, and the Results report differences in survival among those groups. But the paper does not establish that ancestry itself alters both overall pediatric ALL incidence and survival: its incidence discussion is hedged, and its survival analysis identifies associations rather than an ancestry-specific causal effect. No page numbers are available in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites Goggins & Lo, 2012 source
- cites Linabery et al., 2012 source
The Methods and Results report pediatric lymphoid leukemia incidence in relation to folic acid fortification, not ancestry. A passage under Figure 1 compares racial and ethnic distributions in SEER and the US population but does not link ancestry to ALL incidence or survival. Searches for ancestry, race, ethnicity, and survival found no passage addressing the attributed claim; pages were not provided in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
The quote only partly states this claim.
Findingown dataAmong analyzed participants, ALL survivors had 18.7% lower 2-back accuracy than controls.
“Subsequently, survivors scored on average of 18.7% lower (mean = 60.3; SD = 17.5) than controls (mean = 74.2; SD = 15.3), with the model showing significant age (t (39) = 3.7, p = .0007) and group (t (39) = −2.6, p = .01) coefficients”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOn the right side, temporal and occipital cortical volumes were smaller by 5.6% and 6.6%, respectively.
“On the right side, volumes were smaller by 5.6% and 6.6%, respectively (t (41) = −2.3 and −2.4, q = 0.09).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNeither age at diagnosis nor years since diagnosis were predictive of age-adjusted SSRT.
“Neither age at diagnosis nor years since diagnosis were predictive of age‐adjusted SSRT.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAge at diagnosis and years since diagnosis were not significantly associated with age-corrected target accuracy scores on the N-Back.
“Age at diagnosis and years since diagnosis were not significantly associated with age‐corrected target accuracy scores on the N‐Back.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataALL survivors had 9.6% lower 1-back accuracy than controls.
“In the 1‐back condition, accuracy scores were 9.6% lower in survivors (mean = 84.3, SD = 9.1) than controls (mean = 93.3, SD = 5.5), which was highly significant between groups (t (41) = −3.6, p = .0009).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSubcortical white matter differences were present in 11 of 29 white matter structures tested, with 5% to 12% volume decreases.
“Subcortical white matter differences were present in 11 of the 29 white matter structures tested, with 5% to 12% volume decreases”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGroup and age significantly predicted SSRT.
“The linear model indicated a significant effect of both group (t (40) = 2.8, p < .01) and age (−13 ms/yr, t (40) = −2.9, p < .01).”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataALL survivors had smaller volumes in the right amygdala, right thalamus, left globus pallidus, and left striatum.
“Survivors exhibited smaller volumes in the amygdala (right, −7.4%), the thalamus (right, −4.8%), the globus pallidus (left, −6.9%), and the striatum (left, −6.3%).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data1-back accuracy was correlated with the genu and body of the corpus callosum, but not the splenium.
“For the latter, tests showed significance independently for both the genu and the body of the corpus callosum (r = .37, t (40) = 2.6, q = 0.09), but not the splenium (q = 0.26).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn our sample, age at diagnosis and years since diagnosis had no significant impact on cognitive abilities or neuroanatomical outcomes.
“In our sample, we found that age at diagnosis and years since diagnosis had no significant impact on cognitive abilities or neuroanatomical outcomes.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSurvivors exhibited difficulties in working memory and response inhibition, and had lower regional gray and white matter volume compared with typically developing controls.
“Survivors exhibited difficulties in working memory and response inhibition, and had lower regional gray and white matter volume compared with typically developing controls.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenControl subjects were matched to ALL survivors on age, sex, and ancestry.
“Control subjects were matched to ALL survivors on age, sex, and ancestry.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenControl subjects were eligible only if they did not have a diagnosed learning disability or psychiatric disorder at the time of assessment.
“Additionally, controls were eligible if they did not have a diagnosed learning disability or psychiatric disorder at the time of assessment.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationSignificance was reported using p-values or corrected p-values (q-values) computed with the false discovery rate to account for multiple comparisons.
“We report significance using p‐values or corrected p‐values (q‐values), computed with the false discovery rate (FDR) (Benjamini & Hochberg, 1995) to account for multiple comparisons.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Benjamini & Hochberg, 1995 source
Classified as probably not a substantial claim.
Study design and conductreasoningParticipants were excluded from the N-back analysis if they did not achieve at least 30% target accuracy.
“To ensure only those who performed above chance were considered, participants were excluded from the analysis if they did not achieve at least 30% target accuracy.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductcitationThe study was restricted to males only to limit treatment-related variability and inherent sex differences in brain development while maximizing eligible participants.
“To limit treatment‐related variability and inherent sex differences in brain development (De Bellis et al., 2001; Gur et al., 1999; Lange, Giedd, Castellanos, Vaituzis, & Rapoport, 1997; Kang, Herron, & Woods, 2011), while maximizing eligible participants, we restricted this study to males only.”
Quote in the paperSubstantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
Study design and conductreasoningIndividuals with fewer than 20% or greater than 80% successfully inhibited stop trials were excluded because this resulted in either too few correct stop trials or failed stop trials to calculate stable SSRTs.
“Individuals with fewer than 20% or greater than 80% successfully inhibited stop trials were excluded because this resulted in either too few correct stop trials or failed stop trials to calculate stable SSRTs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere is some evidence of associations between white matter morphology and motor processing speed in survivors of childhood ALL.
“with some evidence of associations between white matter morphology and measures of attention and intelligence (Edelmann et al., 2014; Reddick et al., 2014) and motor processing speed (Aukema et al., 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Aukema et al., 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataOne ALL survivor did not meet the validity criteria for the Stop Signal Task.
“One ALL survivor did not meet the validity criteria for the Stop Signal Task (total n = 43, 21 controls and 22 survivors [Figure 2]).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningDeformation-based morphometry was restricted to a subcortical region-of-interest and served as a qualitative confirmation of atlas-based analyses.
“Consequently, this analysis was restricted to a subcortical region‐of‐interest and served as a qualitative confirmation of atlas‐based analyses.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationLate effects of ALL treatment include cardiomyopathy, avascular necrosis of the joints, secondary cancers, and neurocognitive and behavioral challenges.
“These late effects include cardiomyopathy, avascular necrosis of the joints, secondary cancers, and neurocognitive and behavioral challenges (Goldsby et al., 2010; Haddy, Mosher, & Reaman, 2009; Landier, Armenian, & Bhatia, 2015; Mariotto et al., 2009; Schultz et al., 2007a).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Goldsby et al., 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Haddy, Mosher, & Reaman, 2009 source
- cites Landier, Armenian, & Bhatia, 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataThe results did not show strong evidence for distinct 'affected' and 'not affected' groups among survivors, but suggested the distribution of ALL survivors was globally shifted relative to controls.
“Our results did not show strong evidence among survivors for distinct “affected” and “not affected” groups, but rather suggested the distribution of ALL survivors was globally shifted relative to that of the controls.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataBoth neurocognitive and anatomical deficits were evident in childhood and adolescent ALL survivors even after nearly a decade had passed since ALL diagnosis.
“The results indicate that both neurocognitive and anatomical deficits were evident in childhood and adolescent ALL survivors even after nearly a decade had passed since ALL diagnosis.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMTX targets folate synthesis.
“One commonly suspected chemotherapy agent is MTX, which targets folate synthesis (Graham et al., 1992; Pak, Chan, & Mattson, 2003).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationFolate is a crucial constituent of one-carbon metabolism and is important for biosynthesis of purines and thymidylate, and remethylation of homocysteine to methionine.
“Folate is a crucial constituent of one‐carbon metabolism (OCM) and is important for biosynthesis of purines and thymidylate, and remethylation of homocysteine to methionine (Fox & Stover, 2008; Li, Vijayanathan, Gulinello, & Cole, 2010).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Fox & Stover, 2008 source
- cites Li et al., 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataExposure to chemotherapy treatment results in brain development changes years after completion of treatment, with potential ramifications for quality of life in ALL survivors.
“Our results do indicate that exposure to chemotherapy treatment results in brain development changes years after completion of treatment, with potential ramifications for quality of life in ALL survivors.”
Quote in the paperSubstantial claim- Rests on an assumption: The observed differences in brain structure and cognition between ALL survivors and controls are attributable to chemotherapy treatment rather than other factors.
May combine two claims.
Interpretationown dataEven patients treated with standard-risk, contemporary chemotherapy-only treatment protocols are at risk of alterations in brain development, and deficits in working memory and inhibitory control.
“We conclude that even patients treated with standard‐risk, contemporary chemotherapy‐only treatment protocols are at risk of alterations in brain development, and deficits in working memory and inhibitory control.”
Quote in the paperSubstantial claim- Rests on an assumption: The observed differences in brain structure and cognition between ALL survivors and controls are attributable to chemotherapy treatment rather than other factors.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA large majority of childhood ALL patients will become survivors.
“As a large majority of childhood ALL patients will become survivors, late effects and their impact on quality of life are a crucial concern (Kunin‐Batson, Kadan‐Lottick, & Neglia, 2014; Mitchell et al., 2016), making the effort to identify targets for remediating cognitive, and behavioral deficits a pressing issue (Iyer et al., 2015; Kunin‐Batson et al., 2014; Olson & Sands, 2015).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Kunin-Batson et al., 2014 source
- cites Mitchell et al., 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataStructural changes are widespread and correlate with functional performance.
“We have shown that structural changes are widespread and correlate with functional performance.”
Quote in the paperSubstantial claim
The paper relies on this without support.
Chemotherapy may disrupt or impair brain developmental processes and thereby lead to neurocognitive deficits.
“Chemotherapy may disrupt or impair these processes and thereby lead to neurocognitive deficits.”
The paper relies on this without support.
There is little understanding of the potential relationships between regional brain deficits and functional abilities in ALL survivors.
“Finally, there is little understanding of the potential relationships between regional brain deficits and functional abilities in ALL survivors.”
The paper relies on this without support.
The observed differences in brain structure and cognition between ALL survivors and controls are attributable to chemotherapy treatment rather than other factors.
“Our results do indicate that exposure to chemotherapy treatment results in brain development changes years after completion of treatment”
The paper relies on this without support.
The control participants are representative of typically developing children and free of conditions that would affect brain structure or cognition.
“compared with typically developing controls”
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Consistentt(41) = 2.8reported p = .009 · recomputed p = .008
“t (41) = 2.8, p = .009”
- Consistentt(41) = 0.76reported p = .45 · recomputed p = .452
“t (41) = 0.76, p = .45”
- Consistentt(41) = -3.6reported p = .0009 · recomputed p < .001
“t (41) = −3.6, p = .0009”
- Consistentt(41) = 3reported p = .004 · recomputed p = .005
“t (41)= 3.0, p = .004”
- Consistentt(39) = 3.7reported p = .0007 · recomputed p < .001
“t (39) = 3.7, p = .0007”
- Consistentt(39) = -2.6reported p = .01 · recomputed p = .013
“t (39) = −2.6, p = .01”
- Consistentt(40) = 2.8reported p < .01 · recomputed p = .008
“t (40) = 2.8, p < .01”
- Consistentt(40) = -2.9reported p < .01 · recomputed p = .006
“t (40) = −2.9, p < .01”
- Consistentt(40) = 2.4reported p = .02 · recomputed p = .021
“t (40) = 2.4, p = .02”
- Consistentt(41) = -2.1reported p = .04 · recomputed p = .042
“t (41) = −2.1, p = .04”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Abstract and results give different survivor sample sizes
MinorThe abstract says the sample included 24 ALL survivors, but the results say the final analysis sample included 23 survivors.
“The sample included 24 male ALL survivors who had completed contemporary treatment 3–11 years prior, and 21 age‐ and sex‐matched controls.”
“The final data sample for analysis included 23 survivors and 21 controls.”
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · cited 1× · see citing works
“We report significance using p- values or corrected p- values (q- values), computed with the false discovery rate (FDR) (Benjamini & Hochberg, 1995) to account for multiple comparisons.”
MethodA nonparametric method for automatic correction of intensity nonuniformity in MRI data
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Chemotherapy and the war on cancer
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“Contemporary treatment of ALL consists of approximately 2 years of of multi- agent chemotherapy (Chabner & Roberts, 2005; Pui & Evans, 2013), extended a further 6–12 months in males due to increased risk of relapse (Bleyer et al., 1991).”
BackgroundStereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template
Mori, S., Oishi, K., Jiang, H., Jiang, L., Li, X., Akhter, K., Hua, K., Faria, A. V., Mahmood, A., Woods, R. P., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.035 · Cited by 1,832 · cited 4× · see citing works
“…— −4.8 −1.9 — −2.2 ns — 0.09 Globus pallidusd −6.9 — −5.0 −2.9 — −1.9 0.07 — ns Striatumd −6.3 — −5.6 −2.2 — −1.9 0.09 — ns Acronyms: M, midline; L, Left; R, Right. aAtlas: Johns Hopkins white matter atlas (Mori et al., 2008). bAtlas: Treadway et al. and Entis et al. (Entis et al., 2012;…”
MethodInfluentialPlasticity in gray and white: neuroimaging changes in brain structure during learning
Zatorre, R. J., Fields, R. D., & Johansen-Berg, H. (2012) · Nature Neuroscience · doi:10.1038/nn.3045 · Cited by 1,685 · see citing works
Sample criteria for testing outlying observations
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“One ALL survivor (age 17) was identified as having impaired 1- back performance (z = −3.2) after accounting for age, and was excluded as an outlier (Grubbs test, p = .01) (Grubbs, 1950).”
BackgroundInfluentialPui, C.-H., Robison, L. L., & Look, A. T. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60457-2 · Cited by 1,564 · see citing works
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“General psychopathology was assessed with the Child Behavioral Checklist (CBCL) (Achenbach & Ruffle, 2000) to corroborate selfreported mental health status.”
BackgroundMethodInfluentialTreating Childhood Acute Lymphoblastic Leukemia without Cranial Irradiation
Pui, C.-H., Campana, D., Pei, D., Bowman, W. P., Sandlund, J. T., Kaste, S. C., Ribeiro, R. C., Rubnitz, J. E., Raimondi, S. C., Onciu, M., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0900386 · Cited by 1,215 · cited 3× · see citing works
“…survivors were diagnosed (Pui & Evans, 2013; Simone, 2006): due to concerns of significant neuropsychological effects (Janzen & Spiegler, 2008; Spiegler et al., 2006), cranial radiation therapy has almost entirely been replaced by chemotherapy- only protocols (Pui & Evans, 2013; Pui et al., 2009).”
BackgroundInaba, H., Greaves, M., & Mullighan, C. G. (2013) · The Lancet · doi:10.1016/s0140-6736(12)62187-4 · Cited by 1,074 · cited 6× · see citing works
“%) of our survivors were diagnosed between 2 and 6 years of age, which corresponds to the age of peak ALL incidence (Inaba et al., 2013; National Cancer Institute 2015).”
BackgroundMethodInfluentialOligodendrocytes: biology and pathology
Bradl, M., & Lassmann, H. (2010) · Acta Neuropathologica · doi:10.1007/s00401-009-0601-5 · Cited by 933 · cited 1× · see citing works
“…(e) 0 20% lp C R V ol um e (1 03 m m 3 ) 2.0 3.0 N or m al iz ed V ol um e 0.9 1.0 7.5 10.0 12.5 15.0 17.5 lCCG lsLF lpCR lALIC total CC (2.5) (6.9) (3.1) (2.1) (26) (100) (55) (52) (27) Controls Standard-Risk-ALL High-Risk-ALL Controls ALL survivors (b) myelination (Bradl & Lassmann, 2010).”
InfluentialGur, R. C., Turetsky, B. I., Matsui, M., Yan, M., Bilker, W., Hughett, P., & Gur, R. E. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-10-04065.1999 · Cited by 909 · cited 3× · see citing works
“Firstly, sex is known to modulate brain development (De Bellis et al., 2001; Gur et al., 1999; Lange et al., 1997; Kang et al., 2011) so that manifestation of late effects at any given age may depend on sex (Anderson & Kunin- Batson, 2009; Buizer, de Sonneville, van den Heuvel- Eibrink, & Veerman, 2005).”
BackgroundTransfer of Learning After Updating Training Mediated by the Striatum
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“Prior studies have reported links between performance on neurocognitive tasks and individual patient or treatment factors (Jansen et al., 2006; Krull et al., 2013; Reddick et al., 2014).”
BackgroundHudson, M. M. (2003) · JAMA · doi:10.1001/jama.290.12.1583 · Cited by 809 · cited 5× · see citing works
“%) of our survivors were diagnosed between 2 and 6 years of age, which corresponds to the age of peak ALL incidence (Inaba et al., 2013; National Cancer Institute 2015).”
BackgroundInfluentialSex Differences in Brain Maturation during Childhood and Adolescence
De Bellis, M. D. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.6.552 · Cited by 728 · cited 3× · see citing works
“To limit treatment- related variability and inherent sex differences in brain development (De Bellis et al., 2001; Gur et al., 1999; Lange, Giedd, Castellanos, Vaituzis, & Rapoport, 1997; Kang, Herron, & Woods, 2011), while maximizing eligible participants, we restricted this study to males only.”
BackgroundModels of response inhibition in the stop-signal and stop-change paradigms
Verbruggen, F., & Logan, G. D. (2008) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.08.014 · Cited by 710 · cited 2× · see citing works
“Stop signal reaction time (SSRT) refers to the time interval between the start of the stop process (presentation of stop signal) and the point at which the stop process finishes (Verbruggen & Logan, 2009).”
BackgroundDores, G. M., Devesa, S. S., Curtis, R. E., Linet, M. S., & Morton, L. M. (2011) · Blood · doi:10.1182/blood-2011-04-347872 · Cited by 637 · see citing works
Inhibitory control and psychopathology: A meta-analysis of studies using the stop signal task
LIPSZYC, J., & SCHACHAR, R. (2010) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617710000895 · Cited by 627 · cited 2× · see citing works
“We also examined variability in reaction time by looking at the standard deviation of the mean reaction time (SDRT) (Lipszyc & Schachar, 2010).”
MethodSelf-citationTraining of Working Memory Impacts Structural Connectivity
Takeuchi, H., Sekiguchi, A., Taki, Y., Yokoyama, S., Yomogida, Y., Komuro, N., Yamanouchi, T., Suzuki, S., & Kawashima, R. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4611-09.2010 · Cited by 531 · cited 1× · see citing works
“The asterisks mark significant differences between groups (a) (b) previously (Dahlin, Neely, Larsson, Bäckman, & Nyberg, 2008; KubatSilman, Dagenbach, & Absher, 2002; Schaefer et al., 2006; Takeuchi et al., 2010; Zou, Hong, Wang, Gao, & Yang, 2011).”
Schultz, K. R., Pullen, D. J., Sather, H. N., et al. (2006) · Blood · doi:10.1182/blood-2006-01-024729 · Cited by 476 · see citing works
An unbiased iterative group registration template for cortical surface analysis
Lyttelton, O. C., Boucher, M., Robbins, S. M., & Evans, A. C. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.10.041 · Cited by 415 · see citing works
Chapter 1 Folate‐Mediated One‐Carbon Metabolism
Fox, J. T., & Stover, P. J. (2008) · Vitamins & Hormones · doi:10.1016/s0083-6729(08)00401-9 · Cited by 402 · see citing works
Methotrexate-Induced Neurotoxicity and Leukoencephalopathy in Childhood Acute Lymphoblastic Leukemia
Bhojwani, D., Sabin, N. D., Pei, D., Yang, J. J., Khan, R. B., Panetta, J. C., Krull, K. R., Inaba, H., Rubnitz, J. E., Metzger, M. L., et al. (2014) · Journal of Clinical Oncology · doi:10.1200/jco.2013.53.0808 · Cited by 400 · cited 2× · see citing works
“…et al., 2014; Reddick, Glass, Johnson, Laningham, & Pui, 2009; Reddick et al., 2005); however, these lesions do not show a clear relationship with functional abilities (Bhojwani et al., 2014; Pääkkö et al., 2000) and are therefore unlikely to account for the full range of deficits in ALL survivors.”
BackgroundA 50-Year Journey to Cure Childhood Acute Lymphoblastic Leukemia
Pui, C.-H., & Evans, W. E. (2013) · Seminars in Hematology · doi:10.1053/j.seminhematol.2013.06.007 · Cited by 368 · cited 1× · see citing works
“The consenting procedure was performed by trained, experienced staff.”
MethodPerforming label-fusion-based segmentation using multiple automatically generated templates
Chakravarty, M. M., Steadman, P. E., van Eede, M. C., Calcott, R. D., Gu, V. Y., Shaw, P., Raznahan, A., Collins, D. L., & Lerch, J. P. (2012) · Human Brain Mapping · doi:10.1002/hbm.22092 · Cited by 351 · cited 1× · see citing works
“In each case, atlases were used to reconstruct individual images based on multiple automatically generated templates (Chakravarty et al., 2013; Pipitone et al., 2014).”
MethodSchultz, K. A. P., Ness, K. K., Whitton, J. A., Recklitis, C. J., Zebrack, B., Robison, L. L., Zeltzer, L. K., & Mertens, A. C. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2006.09.2486 · Cited by 343 · cited 3× · see citing works
“…to receive standard- or high- risk ALL therapy based on prognostic factors that include the patient’s age, initial white blood cell count, blast cytogenetics, and early response to treatment (Borowitz et al., 2006; Inaba et al., 2013; Mattano et al., 2014; Pui & Evans, 2013; Schultz et al., 2007b).”
BackgroundMethodPipitone, J., Park, M. T. M., Winterburn, J. L., Lett, T. A. P., Lerch, J. P., Pruessner, J. C., Lepage, M., Voineskos, A. N., & Chakravarty, M. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.054 · Cited by 340 · cited 1× · see citing works
“In each case, atlases were used to reconstruct individual images based on multiple automatically generated templates (Chakravarty et al., 2013; Pipitone et al., 2014).”
MethodTreadway, M. T., Waskom, M. L., Dillon, D. G., Holmes, A. J., Park, M. T. M., Chakravarty, M. M., Dutra, S. J., Polli, F. E., Iosifescu, D. V., Fava, M., et al. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.06.018 · Cited by 331 · cited 2× · see citing works
“…atlas from the Toronto Centre for Addiction and Mental Health (author now at the Douglas Mental Health University Institute, Montreal) (Winterburn et al., 2013); and the amygdala atlas described in Treadway et al. and Entis et al. (Entis, Doerga, Barrett, & Dickerson, 2012; Treadway et al., 2015).”
BackgroundMethodInfluentialLong-Term Survivors of Childhood Cancers in the United States
Mariotto, A. B., Rowland, J. H., Yabroff, K. R., Scoppa, S., Hachey, M., Ries, L. A. G., & Feuer, E. J. (2009) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-08-0988 · Cited by 316 · cited 1× · see citing works
“These late effects include cardiomyopathy, avascular necrosis of the joints, secondary cancers, and neurocognitive and behavioral challenges (Goldsby et al., 2010; Haddy, Mosher, & Reaman, 2009; Landier, Armenian, & Bhatia, 2015; Mariotto et al., 2009; Schultz et al., 2007a).”
BackgroundThe creation of a brain atlas for image guided neurosurgery using serial histological data
Chakravarty, M. M., Bertrand, G., Hodge, C. P., Sadikot, A. F., & Collins, D. L. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.041 · Cited by 295 · cited 4× · see citing works
“Subcortical white and gray matter anatomy were evaluated using structures drawn from four atlases: the Johns Hopkins white matter atlas (Mori et al., 2008) (based on fractional anisotropy from the DTI data); the thalamus, globus pallidus, and striatum atlas from the Montreal Neurological Institute and McGill Universit…”
BackgroundMethodInfluentialSteinfeld, R., Grapp, M., Krätzner, R., et al. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.08.005 · Cited by 279 · cited 3× · see citing works
“, 2009), and/or secondary metabolic alterations (van der Plas et al., 2015; Steinfeld et al., 2009; Strain et al., 2013).”
BackgroundWinterburn, J. L., Pruessner, J. C., Chavez, S., Schira, M. M., Lobaugh, N. J., Voineskos, A. N., & Chakravarty, M. M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.003 · Cited by 271 · see citing works
Racial and ethnic differences in survival of children with acute lymphoblastic leukemia
Bhatia, S., Sather, H. N., Heerema, N. A., Trigg, M. E., Gaynon, P. S., & Robison, L. L. (2002) · Blood · doi:10.1182/blood-2002-02-0395 · Cited by 270 · cited 2× · see citing works
“…ALL incidence and survival (Abrahão et al., 2015; Goggins & Lo, 2012; Linabery, Johnson, & Ross, 2012), is likely to also impact the risk and severity of late effects (Bhatia et al., 2002; Dores, Devesa, Curtis, Linet, & Morton, 2012; Lim, Bhatia, Robison, & Yang, 2014; Yang et al., 2010).”
BackgroundImaging Patterns of Brain Development and their Relationship to Cognition
Erus, G., Battapady, H., Satterthwaite, T. D., Hakonarson, H., Gur, R. E., Davatzikos, C., & Gur, R. C. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht425 · Cited by 226 · cited 3× · see citing works
“, protracted development of the frontal lobes) (Erus et al., 2015; Zatorre, Fields, & Johansen- Berg, 2012) are likely to alter regional sensitivity to chemotherapy and its longterm impact.”
BackgroundInfluentialLate Effects of Childhood Cancer and Its Treatment
Landier, W., Armenian, S. H., & Bhatia, R. (2014) · Pediatric Clinics of North America · doi:10.1016/j.pcl.2014.09.017 · Cited by 219 · see citing works
Iyer, N. S., Balsamo, L. M., Bracken, M. B., & Kadan-Lottick, N. S. (2015) · Blood · doi:10.1182/blood-2015-02-627414 · Cited by 194 · cited 3× · see citing works
“…their impact on quality of life are a crucial concern (KuninBatson, Kadan- Lottick, & Neglia, 2014; Mitchell et al., 2016), making the effort to identify targets for remediating cognitive, and behavioral deficits a pressing issue (Iyer et al., 2015; Kunin- Batson et al., 2014; Olson & Sands, 2015).”
BackgroundSpiegler, B. J., Kennedy, K., Maze, R., Greenberg, M., Weitzman, S. S., Hitzler, J. K., & Nathan, P. C. (2006) · Journal of Clinical Oncology · doi:10.1200/jco.2006.05.9055 · Cited by 184 · cited 1× · see citing works
“…survivors were diagnosed (Pui & Evans, 2013; Simone, 2006): due to concerns of significant neuropsychological effects (Janzen & Spiegler, 2008; Spiegler et al., 2006), cranial radiation therapy has almost entirely been replaced by chemotherapy- only protocols (Pui & Evans, 2013; Pui et al.,…”
BackgroundSelf-citationWhite matter development and early cognition in babies and toddlers
O'Muircheartaigh, J., Dean, D. C., Ginestet, C. E., Walker, L., Waskiewicz, N., Lehman, K., Dirks, H., Piryatinsky, I., & Deoni, S. C. L. (2014) · Human Brain Mapping · doi:10.1002/hbm.22488 · Cited by 183 · see citing works
Genomics of racial and ethnic disparities in childhood acute lymphoblastic leukemia
Lim, J. Y.-S., Bhatia, R., Robison, L. L., & Yang, J. J. J. (2013) · Cancer · doi:10.1002/cncr.28531 · Cited by 181 · see citing works
Buizer, A. I., de Sonneville, L. M. J., & Veerman, A. J. P. (2008) · Pediatric Blood & Cancer · doi:10.1002/pbc.21869 · Cited by 179 · see citing works
Peterson, C. C., Johnson, C. E., Ramirez, L., Huestis, S. E., Pai, A. L. H., Demaree, H. A., & Drotar, D. (2008) · Pediatric Blood & Cancer · doi:10.1002/pbc.21544 · Cited by 176 · cited 2× · see citing works
“Addressing the sex and ancestry dependence of late effects may have important clinical and biological implications (Buizer et al., 2005; Jansen et al., 2008; Peterson et al., 2008; von der Weid et al., 2003).”
BackgroundCharacterizing longitudinal white matter development during early childhood
Dean, D. C., O’Muircheartaigh, J., Dirks, H., Waskiewicz, N., Walker, L., Doernberg, E., Piryatinsky, I., & Deoni, S. C. L. (2015) · Brain Structure and Function · doi:10.1007/s00429-014-0763-3 · Cited by 174 · cited 1× · see citing works
“Children with ALL require treatment at a time when the brain is undergoing major developmental changes (Dean et al., 2014; Giedd et al., 2010; O’Muircheartaigh et al., 2014).”
BackgroundDexamethasone alters sleep and fatigue in pediatric patients with acute lymphoblastic leukemia
Hinds, P. S., Hockenberry, M. J., Gattuso, J. S., Srivastava, D. K., Tong, X., Jones, H., West, N. K., McCarthy, K., Sadeh, A., Ash, M., et al. (2007) · Cancer · doi:10.1002/cncr.23039 · Cited by 168 · cited 2× · see citing works
“Risk stratification Standard risk High risk Protocol ID 9904 AALL0331 9905 9605 A5971 9906 n 8 8 3 2 1 1 Age at diagnosis 2.1–5.4 2.6–8.4 3.2–4.2 3.0–4.5 3.1 2.9 9904/9905: Borowitz et al. (2006), Hinds et al. (2007).”
MethodInfluentialJacola, L. M., Krull, K. R., Pui, C.-H., Pei, D., Cheng, C., Reddick, W. E., & Conklin, H. M. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2015.64.3205 · Cited by 160 · cited 1× · see citing works
“Neurocognitive and behavioral late effects include weaknesses in working memory, visual- spatial reasoning, motor coordination, processing speed, and attention (Campbell et al., 2009; Iyer, Balsamo, Bracken, & Kadanlottick, 2015; Jacola et al., 2016; Peterson et al., 2008).”
BackgroundBuizer, A. I., de Sonneville, L. M. J., van den Heuvel‐Eibrink, M. M., & Veerman, A. J. P. (2005) · Pediatric Blood & Cancer · doi:10.1002/pbc.20397 · Cited by 156 · cited 1× · see citing works
“Addressing the sex and ancestry dependence of late effects may have important clinical and biological implications (Buizer et al., 2005; Jansen et al., 2008; Peterson et al., 2008; von der Weid et al., 2003).”
Backgroundvon der Weid, N., Mosimann, I., Hirt, A., et al. (2003) · European Journal of Cancer · doi:10.1016/s0959-8049(02)00260-5 · Cited by 155 · cited 1× · see citing works
“Addressing the sex and ancestry dependence of late effects may have important clinical and biological implications (Buizer et al., 2005; Jansen et al., 2008; Peterson et al., 2008; von der Weid et al., 2003).”
BackgroundEdelstein, K., Spiegler, B. J., Fung, S., Panzarella, T., Mabbott, D., Jewitt, N. C., D’Agostino, N. M., Mason, W. P., Bouffet, É., Tabori, U. Y., et al. (2011) · Neuro-Oncology · doi:10.1093/neuonc/nor015 · Cited by 155 · cited 1× · see citing works
“This burden persists into adulthood when symptoms may be similar to the cognitive decline observed in aging (Ahles, 2012; Edelstein et al., 2011).”
BackgroundSelf-citationAukema, E. J., Caan, M. W. A., Oudhuis, N., Majoie, C. B. L. M., Vos, F. M., Reneman, L., Last, B. F., Grootenhuis, M. A., & Meeteren, A. Y. N. S. (2008) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2008.08.060 · Cited by 153 · cited 4× · see citing works
“Reductions in total white matter volume and increased fractional anisotropy have been reported in adult survivors of childhood ALL (Aukema et al., 2009; Edelmann et al., 2014; Reddick et al., 2014), with some evidence of associations between white matter morphology and measures of attention and intelligence (Edelmann…”
BackgroundInfluentialBrain vulnerability to chemotherapy toxicities
Ahles, T. A. (2012) · Psycho-Oncology · doi:10.1002/pon.3196 · Cited by 147 · cited 1× · see citing works
“This burden persists into adulthood when symptoms may be similar to the cognitive decline observed in aging (Ahles, 2012; Edelstein et al., 2011).”
BackgroundExecutive function, coping, and behavior in survivors of childhood acute lymphocytic leukemia.
Campbell, L. K., Scaduto, M., Slyke, D. V. V., Niarhos, F., Whitlock, J., & Compas, B. (2008) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsn080 · Cited by 143 · cited 1× · see citing works
“Neurocognitive and behavioral late effects include weaknesses in working memory, visual- spatial reasoning, motor coordination, processing speed, and attention (Campbell et al., 2009; Iyer, Balsamo, Bracken, & Kadanlottick, 2015; Jacola et al., 2016; Peterson et al., 2008).”
BackgroundSex Differences in Prognosis for Children With Acute Lymphoblastic Leukemia
Pui, C., Boyett, J. M., Relling, M. V., Harrison, P. L., Rivera, G. K., Behm, F. G., Sandlund, J. T., Ribeiro, R. C., Rubnitz, J. E., Gajjar, A. J., et al. (1999) · Journal of Clinical Oncology · doi:10.1200/jco.1999.17.3.818 · Cited by 142 · cited 2× · see citing works
“Secondly, sex modulates disease- and treatmentspecific factors: incidence of ALL is higher in boys than in girls (Inaba et al., 2013; National Cancer Institute 2015; Pui & Evans, 2013; Pui et al., 1999; Sather, Miller, Nesbit, Heyn, & Hammond, 1981), and boys require longer treatment (~2.”
BackgroundInfluentialWaber, D. P., Tarbell, N. J., Kahn, C. M., Gelber, R. D., & Sallan, S. E. (1992) · Journal of Clinical Oncology · doi:10.1200/jco.1992.10.5.810 · Cited by 137 · see citing works
Krull, K. R., Cheung, Y. T., Liu, W., Fellah, S., Reddick, W. E., Brinkman, T. M., Kimberg, C., Ogg, R., Srivastava, D., Pui, C.-H., et al. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2015.65.4574 · Cited by 136 · cited 5× · see citing works
“…of ALL treatment, folate metabolism may be altered for an extended period, possibly resulting in build- up of homocysteine (Fox & Stover, 2008; Krull et al., 2016; Li et al., 2010; Steinfeld et al., 2009), and/or secondary metabolic alterations (van der Plas et al., 2015; Steinfeld et al.,…”
BackgroundInfluentialVariability of human brain structure size: ages 4–20 years
Lange, N., Giedd, J. N., Xavier Castellanos, F., Vaituzis, A. C., & Rapoport, J. L. (1997) · Psychiatry Research: Neuroimaging · doi:10.1016/s0925-4927(96)03054-5 · Cited by 134 · cited 2× · see citing works
“Firstly, sex is known to modulate brain development (De Bellis et al., 2001; Gur et al., 1999; Lange et al., 1997; Kang et al., 2011) so that manifestation of late effects at any given age may depend on sex (Anderson & Kunin- Batson, 2009; Buizer, de Sonneville, van den Heuvel- Eibrink, & Veerman, 2005).”
BackgroundReddick, W. E., Taghipour, D. J., Glass, J. O., Ashford, J., Xiong, X., Wu, S., Bonner, M., Khan, R. B., & Conklin, H. M. (2014) · Pediatric Blood & Cancer · doi:10.1002/pbc.24947 · Cited by 121 · cited 9× · see citing works
“Reductions in total white matter volume and increased fractional anisotropy have been reported in adult survivors of childhood ALL (Aukema et al., 2009; Edelmann et al., 2014; Reddick et al., 2014), with some evidence of associations between white matter morphology and measures of attention and intelligence (Edelmann…”
BackgroundInfluentialPydpiper: a flexible toolkit for constructing novel registration pipelines
Friedel, M., van Eede, M. C., Pipitone, J., Chakravarty, M. M., & Lerch, J. P. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00067 · Cited by 121 · see citing works
(2005) · PubMed Central · Cited by 117 · see citing works
Anderson, F. S., & Kunin‐Batson, A. (2008) · Pediatric Blood & Cancer · doi:10.1002/pbc.21700 · Cited by 115 · see citing works
Kunin‐Batson, A., Kadan‐Lottick, N., & Neglia, J. P. (2014) · Psycho-Oncology · doi:10.1002/pon.3470 · Cited by 112 · see citing works
Goldsby, R. E., Liu, Q., Nathan, P. C., Bowers, D. C., Yeaton‐Massey, A., Raber, S., Hill, D., Armstrong, G. T., Yasui, Y., Zeltzer, L. K., et al. (2009) · Journal of Clinical Oncology · doi:10.1200/jco.2009.22.5060 · Cited by 110 · cited 1× · see citing works
“One commonly suspected chemotherapy agent is MTX, which targets folate synthesis (Graham et al., 1992; Pak, Chan, & Mattson, 2003).”
BackgroundIndividual Differences in Amygdala Activity Predict Response Speed during Working Memory
Schaefer, A., Braver, T. S., Reynolds, J. R., Burgess, G. C., Yarkoni, T., & Gray, J. R. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.2567-06.2006 · Cited by 106 · cited 1× · see citing works
“The asterisks mark significant differences between groups (a) (b) previously (Dahlin, Neely, Larsson, Bäckman, & Nyberg, 2008; KubatSilman, Dagenbach, & Absher, 2002; Schaefer et al., 2006; Takeuchi et al., 2010; Zou, Hong, Wang, Gao, & Yang, 2011).”
Giedd, J. N., Stockman, M., Weddle, C., Liverpool, M., Alexander-Bloch, A., Wallace, G. L., Lee, N. R., Lalonde, F., & Lenroot, R. K. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9151-9 · Cited by 101 · cited 1× · see citing works
“Children with ALL require treatment at a time when the brain is undergoing major developmental changes (Dean et al., 2014; Giedd et al., 2010; O’Muircheartaigh et al., 2014).”
BackgroundDiffusion tensor imaging and neurocognition in survivors of childhood acute lymphoblastic leukaemia
Edelmann, M. N., Krull, K. R., Liu, W., Glass, J. O., Ji, Q., Ogg, R. J., Sabin, N. D., Srivastava, D. K., Robison, L. L., Hudson, M. M., et al. (2014) · Brain · doi:10.1093/brain/awu230 · Cited by 99 · cited 5× · see citing works
“Reductions in total white matter volume and increased fractional anisotropy have been reported in adult survivors of childhood ALL (Aukema et al., 2009; Edelmann et al., 2014; Reddick et al., 2014), with some evidence of associations between white matter morphology and measures of attention and intelligence (Edelmann…”
BackgroundInfluentialDIFFERENCES IN PROGNOSIS FOR BOYS AND GIRLS WITH ACUTE LYMPHOBLASTIC LEUKAEMIA
Sather, H. N. (1981) · The Lancet · doi:10.1016/s0140-6736(81)92623-4 · Cited by 98 · see citing works
Yang, W., Treviño, L. R., Yang, J. J., Scheet, P. A., Pui, C., We, E., & Relling, M. V. (2010) · Leukemia · doi:10.1038/leu.2009.277 · Cited by 94 · see citing works
Genetic Mediators of Neurocognitive Outcomes in Survivors of Childhood Acute Lymphoblastic Leukemia
Krull, K. R., Bhojwani, D., Conklin, H. M., Pei, D., Cheng, C., Reddick, W. E., Sandlund, J. T., & Pui, C. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.46.7944 · Cited by 93 · cited 1× · see citing works
“Prior studies have reported links between performance on neurocognitive tasks and individual patient or treatment factors (Jansen et al., 2006; Krull et al., 2013; Reddick et al., 2014).”
BackgroundKanellopoulos, A., Andersson, S., Zeller, B., Tamnes, C. K., Fjell, A. M., Walhovd, K. B., Westlye, L. T., Fosså, S. D., & Ruud, E. (2016) · Pediatric Blood & Cancer · doi:10.1002/pbc.25690 · Cited by 89 · cited 1× · see citing works
“Firstly, available studies often evaluate outcomes in adult survivors of childhood leukemia (Blaauwbroek et al., 2007; Edelmann et al., 2014; Kanellopoulos et al., 2015; Tamnes et al., 2015; Zeller et al., 2013).”
BackgroundMitchell, H., Lu, X., Myers, R. M., Sung, L., Balsamo, L. M., Carroll, W. L., Raetz, E. A., Loh, M. L., Mattano, L. A., Winick, N. J., et al. (2015) · International Journal of Cancer · doi:10.1002/ijc.29708 · Cited by 89 · cited 3× · see citing works
“AALL0331: Maloney et al. (2013), Mattano et al. (2014), Mitchell et al. (2016).”
BackgroundAbrahão, R., Lichtensztajn, D. Y., Ribeiro, R. C., Marina, N. M., Keogh, R. H., Marcos-Gragera, R., Glaser, S. L., & Keegan, T. H. M. (2015) · Pediatric Blood & Cancer · doi:10.1002/pbc.25544 · Cited by 89 · cited 1× · see citing works
“Similarly, ancestry, which is known to alter both pediatric ALL incidence and survival (Abrahão et al., 2015; Goggins & Lo, 2012; Linabery, Johnson, & Ross, 2012), is likely to also impact the risk and severity of late effects (Bhatia et al., 2002; Dores, Devesa, Curtis, Linet, & Morton, 2012; Lim,…”
BackgroundEntis, J. J., Doerga, P. N., Barrett, L. F., & Dickerson, B. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.073 · Cited by 88 · cited 1× · see citing works
“…— −1.9 0.07 — ns Striatumd −6.3 — −5.6 −2.2 — −1.9 0.09 — ns Acronyms: M, midline; L, Left; R, Right. aAtlas: Johns Hopkins white matter atlas (Mori et al., 2008). bAtlas: Treadway et al. and Entis et al. (Entis et al., 2012; Treadway et al., 2015). cAtlas: Toronto Centre for Addiction and…”
InfluentialImpact of childhood cancer on the mental health of parents
Dockerty, J. D., Williams, S., McGee, R. O., & Skegg, D. C. G. (2000) · Medical and Pediatric Oncology · doi:10.1002/1096-911x(20001101)35:5 · Cited by 88 · see citing works
Termuhlen, A. M., Smith, L. M., Perkins, S. L., et al. (2013) · British Journal of Haematology · doi:10.1111/bjh.12460 · Cited by 85 · cited 3× · see citing works
“A5971: Termuhlen et al. (2012, 2013).”
BackgroundMethodMontour‐Proulx, I., Kuehn, S. M., Keene, D. L., et al. (2005) · Journal of Child Neurology · doi:10.1177/08830738050200020901 · Cited by 84 · see citing works
Late Effects in Long-Term Survivors After Treatment for Childhood Acute Leukemia
Haddy, T. B., Mosher, R. B., & Reaman, G. H. (2009) · Clinical Pediatrics · doi:10.1177/0009922809332680 · Cited by 82 · see citing works
Bleyer, W. A., Sather, H. N., Nickerson, H. J., et al. (1991) · Journal of Clinical Oncology · doi:10.1200/jco.1991.9.6.1012 · Cited by 80 · cited 1× · see citing works
“Contemporary treatment of ALL consists of approximately 2 years of of multi- agent chemotherapy (Chabner & Roberts, 2005; Pui & Evans, 2013), extended a further 6–12 months in males due to increased risk of relapse (Bleyer et al., 1991).”
BackgroundReduced Neuroanatomic Volumes in Long-Term Survivors of Childhood Acute Lymphoblastic Leukemia
Zeller, B., Tamnes, C. K., Kanellopoulos, A., Amlien, I. K., Andersson, S., Due‐Tønnessen, P., Fjell, A. M., Walhovd, K. B., Westlye, L. T., & Ruud, E. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.47.4031 · Cited by 76 · cited 1× · see citing works
“Firstly, available studies often evaluate outcomes in adult survivors of childhood leukemia (Blaauwbroek et al., 2007; Edelmann et al., 2014; Kanellopoulos et al., 2015; Tamnes et al., 2015; Zeller et al., 2013).”
BackgroundImpact of Chemotherapy for Childhood Leukemia on Brain Morphology and Function
Genschaft, M., Huebner, T., Plessow, F., Ikonomidou, V. N., Abolmaali, N., Krone, F., Hoffmann, A., Holfeld, E., Vorwerk, P., Kramm, C., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0078599 · Cited by 75 · cited 2× · see citing works
“, 2015), detailed characterization of region- specific changes associated with chemotherapy treatment remains scant (Genschaft et al., 2013).”
BackgroundNeuropsychological Outcome in Chemotherapy-Only–Treated Children With Acute Lymphoblastic Leukemia
Jansen, N., Kingma, A., Schuitema, A., Bouma, A., Veerman, A. J. P., & Kamps, W. A. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2007.12.4149 · Cited by 74 · cited 1× · see citing works
“Addressing the sex and ancestry dependence of late effects may have important clinical and biological implications (Buizer et al., 2005; Jansen et al., 2008; Peterson et al., 2008; von der Weid et al., 2003).”
BackgroundLate effects in adult survivors of childhood cancer: the need for life-long follow-up
Blaauwbroek, R., Groenier, K. H., Kamps, W. A., Meyboom-de Jong, B., & Postma, A. (2007) · Annals of Oncology · doi:10.1093/annonc/mdm336 · Cited by 73 · cited 1× · see citing works
“Firstly, available studies often evaluate outcomes in adult survivors of childhood leukemia (Blaauwbroek et al., 2007; Edelmann et al., 2014; Kanellopoulos et al., 2015; Tamnes et al., 2015; Zeller et al., 2013).”
BackgroundGoggins, W. B., & Lo, F. F. K. (2012) · Cancer Causes & Control · doi:10.1007/s10552-012-9943-8 · Cited by 72 · cited 1× · see citing works
“Similarly, ancestry, which is known to alter both pediatric ALL incidence and survival (Abrahão et al., 2015; Goggins & Lo, 2012; Linabery, Johnson, & Ross, 2012), is likely to also impact the risk and severity of late effects (Bhatia et al., 2002; Dores, Devesa, Curtis, Linet, & Morton, 2012; Lim,…”
BackgroundWhite and Gray Matter Abnormalities After Cranial Radiation in Children and Mice
Nieman, B. J., de Guzman, A. E., Gazdzinski, L. M., Lerch, J. P., Chakravarty, M. M., Pipitone, J., Strother, D., Fryer, C., Bouffet, E., Laughlin, S., et al. (2015) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2015.07.2293 · Cited by 62 · cited 2× · see citing works
“In a study on the adverse impact of cranial irradiation on brain structure, we showed that brain changes in radiation- treated cancer survivors were very similar to those observed in radiation- treated mice (Nieman et al., 2015), highlighting the potential of using mice as a representative model.”
BackgroundSelf-citationHistory of the treatment of childhood ALL: A paradigm for cancer cure
Simone, J. V. (2006) · Best Practice & Research Clinical Haematology · doi:10.1016/j.beha.2005.11.003 · Cited by 60 · see citing works
Wofford, M. M., Smith, S. D., Shuster, J. J., et al. (1992) · Journal of Clinical Oncology · doi:10.1200/jco.1992.10.4.624 · Cited by 59 · cited 3× · see citing works
“5 years) than girls (~2 years) due to sexspecific risk factors for ALL relapse (Brecher et al., 1986; Tiedemann et al., 1982; Wofford et al., 1992).”
BackgroundInfluentialTermuhlen, A. M., Smith, L. M., Perkins, S. L., et al. (2012) · Pediatric Blood & Cancer · doi:10.1002/pbc.24149 · Cited by 57 · cited 4× · see citing works
“A5971: Termuhlen et al. (2012, 2013).”
BackgroundMethodInfluentialCortical surface area and thickness in adult survivors of pediatric acute lymphoblastic leukemia
Tamnes, C. K., Zeller, B., Amlien, I. K., Kanellopoulos, A., Andersson, S., Due‐Tønnessen, P., Ruud, E., Walhovd, K. B., & Fjell, A. M. (2015) · Pediatric Blood & Cancer · doi:10.1002/pbc.25386 · Cited by 55 · cited 3× · see citing works
“Firstly, available studies often evaluate outcomes in adult survivors of childhood leukemia (Blaauwbroek et al., 2007; Edelmann et al., 2014; Kanellopoulos et al., 2015; Tamnes et al., 2015; Zeller et al., 2013).”
BackgroundOlson, K. J., & Sands, S. A. (2015) · Child Neuropsychology · doi:10.1080/09297049.2015.1049941 · Cited by 52 · cited 1× · see citing works
“…their impact on quality of life are a crucial concern (KuninBatson, Kadan- Lottick, & Neglia, 2014; Mitchell et al., 2016), making the effort to identify targets for remediating cognitive, and behavioral deficits a pressing issue (Iyer et al., 2015; Kunin- Batson et al., 2014; Olson & Sands, 2015).”
BackgroundLi, Y., Vijayanathan, V., Gulinello, M. E., & Cole, P. D. (2010) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2010.03.003 · Cited by 52 · cited 3× · see citing works
“…metabolism may be altered for an extended period, possibly resulting in build- up of homocysteine (Fox & Stover, 2008; Krull et al., 2016; Li et al., 2010; Steinfeld et al., 2009), and/or secondary metabolic alterations (van der Plas et al., 2015; Steinfeld et al., 2009; Strain et al.,…”
BackgroundIsolated testicular relapse in boys with acute lymphoblastic leukaemia: treatment and outcome.
Tiedemann, J., Chessells, J. M., & Sandland, R. M. (1982) · BMJ · doi:10.1136/bmj.285.6355.1614 · Cited by 52 · cited 2× · see citing works
“5 years) than girls (~2 years) due to sexspecific risk factors for ALL relapse (Brecher et al., 1986; Tiedemann et al., 1982; Wofford et al., 1992).”
BackgroundInfluentialChildhood Cancer Incidence Trends in Association With US Folic Acid Fortification (1986–2008)
Linabery, A. M., Johnson, K. J., & Ross, J. A. (2012) · Pediatrics · doi:10.1542/peds.2011-3418 · Cited by 51 · see citing works
Neurodevelopmental sequelae of pediatric acute lymphoblastic leukemia and its treatment
Janzen, L. A., & Spiegler, B. J. (2008) · Developmental Disabilities Research Reviews · doi:10.1002/ddrr.24 · Cited by 47 · cited 1× · see citing works
“…since these older survivors were diagnosed (Pui & Evans, 2013; Simone, 2006): due to concerns of significant neuropsychological effects (Janzen & Spiegler, 2008; Spiegler et al., 2006), cranial radiation therapy has almost entirely been replaced by chemotherapy- only protocols (Pui &…”
BackgroundSelf-citationRadiation-Induced Alterations in Mouse Brain Development Characterized by Magnetic Resonance Imaging
Gazdzinski, L. M., Cormier, K. J. R., Lu, F. G., Lerch, J. P., Wong, C. S., & Nieman, B. J. (2012) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2012.06.053 · Cited by 46 · cited 1× · see citing works
“Animal models of cancer care will play an important role in systematically addressing the impact of chemotherapy on brain development and the impact of clinical variables (Gazdzinski et al., 2012; Nieman et al., 2015; de Guzman et al., 2015; Li et al., 2010).”
BackgroundSelf-citationSinopoli, K. J., Schachar, R. J., & Dennis, M. (2011) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2011.562864 · Cited by 43 · see citing works
Self-citationRegional variation, hemispheric asymmetries and gender differences in pericortical white matter
Kang, X., Herron, T. J., & Woods, D. L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.016 · Cited by 41 · cited 1× · see citing works
“Firstly, sex is known to modulate brain development (De Bellis et al., 2001; Gur et al., 1999; Lange et al., 1997; Kang et al., 2011) so that manifestation of late effects at any given age may depend on sex (Anderson & Kunin- Batson, 2009; Buizer, de Sonneville, van den Heuvel- Eibrink, & Veerman,…”
Backgroundvan der Plas, E. A. A., Nieman, B. J., Butcher, D. T., Hitzler, J. K., Weksberg, R., Ito, S., & Schachar, R. J. (2015) · Europe PMC (PubMed Central) · Cited by 40 · see citing works
Self-citationPatterns of impaired verbal, spatial, and object working memory after thalamic lesions
Kubat-Silman, A. K., Dagenbach, D., & Absher, J. R. (2002) · Brain and Cognition · doi:10.1016/s0278-2626(02)00502-x · Cited by 39 · see citing works
The Influence of Chemotherapy on Survival in Acute Leukemia
Haut, A., Altman, S. J., Cartwright, G. E., et al. (1955) · Blood · doi:10.1182/blood.v10.9.875.875 · Cited by 37 · see citing works
Voxel-Based Analysis of T2 Hyperintensities in White Matter during Treatment of Childhood Leukemia
Reddick, W. E., Glass, J. O., Johnson, D. P., et al. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1733 · Cited by 36 · see citing works
Calf-Level Factors Associated with Bovine Neonatal Pancytopenia – A Multi-Country Case-Control Study
Jones, B. A., Sauter‐Louis, C., Henning, J., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080619 · Cited by 35 · see citing works
Jansen, N., Kingma, A., Schuitema, A., Bouma, A., Huisman, J., Veerman, A. J. P., & Kamps, W. A. (2006) · European Journal of Cancer · doi:10.1016/j.ejca.2006.06.014 · Cited by 34 · cited 1× · see citing works
“Prior studies have reported links between performance on neurocognitive tasks and individual patient or treatment factors (Jansen et al., 2006; Krull et al., 2013; Reddick et al., 2014).”
BackgroundWinchester, D. J. (2007) · Breast Diseases A Year Book Quarterly · doi:10.1016/s1043-321x(07)80297-9 · Cited by 33 · see citing works
Strain, J., McSorley, E. M., van Wijngaarden, E., Kobrosly, R. W., Bonham, M. P., Mulhern, M. S., Yeates, A. J., Davidson, P. W., Shamlaye, C. F., Henderson, J., et al. (2013) · British Journal Of Nutrition · doi:10.1017/s0007114512005077 · Cited by 33 · cited 2× · see citing works
“, 2009), and/or secondary metabolic alterations (van der Plas et al., 2015; Steinfeld et al., 2009; Strain et al., 2013).”
BackgroundTreatment Age, Dose and Sex Determine Neuroanatomical Outcome in Irradiated Juvenile Mice
de Guzman, A. E., Gazdzinski, L. M., Alsop, R. J., Stewart, J., Jaffray, D. A., Wong, C. S., & Nieman, B. J. (2015) · Radiation Research · doi:10.1667/rr13854.1 · Cited by 30 · cited 1× · see citing works
“Animal models of cancer care will play an important role in systematically addressing the impact of chemotherapy on brain development and the impact of clinical variables (Gazdzinski et al., 2012; Nieman et al., 2015; de Guzman et al., 2015; Li et al., 2010).”
BackgroundSelf-citationPak, K. J., Chan, S. L., & Mattson, M. P. (2003) · NeuroMolecular Medicine · doi:10.1385/nmm:3:2:119 · Cited by 26 · see citing works
Response inhibition in children with and without ADHD after traumatic brain injury
Ornstein, T. J., Max, J. E., Schachar, R. J., Dennis, M., Barnes, M. A., Ewing‐Cobbs, L., & Levin, H. S. (2012) · Journal of Neuropsychology · doi:10.1111/j.1748-6653.2012.02027.x · Cited by 23 · cited 2× · see citing works
“Similar processes are known to be disrupted in individuals with traumatic brain injury or stroke (Lipszyc et al., 2014; Ornstein et al., 2013; Sinopoli, Schachar, & Dennis, 2011) and, like individuals with brain injury, childhood cancer survivors need longterm follow- up care to identify and treat late effects (Blaauw…”
BackgroundSelf-citationGraham, M. L., Shuster, J. J., Kamen, B. A., Cheo, D. L., Harrison, M. P., Leventhal, B. G., Pullen, D. J., & Whitehead, V. M. (1992) · Cancer Chemotherapy and Pharmacology · doi:10.1007/bf00685551 · Cited by 21 · cited 1× · see citing works
“One commonly suspected chemotherapy agent is MTX, which targets folate synthesis (Graham et al., 1992; Pak, Chan, & Mattson, 2003).”
BackgroundMattano, L. A., Devidas, M., Friedmann, A. M., et al. (2014) · Blood · doi:10.1182/blood.v124.21.793.793 · Cited by 21 · cited 2× · see citing works
“…to receive standard- or high- risk ALL therapy based on prognostic factors that include the patient’s age, initial white blood cell count, blast cytogenetics, and early response to treatment (Borowitz et al., 2006; Inaba et al., 2013; Mattano et al., 2014; Pui & Evans, 2013; Schultz et al., 2007b).”
BackgroundFrontal White Matter Damage Impairs Response Inhibition in Children Following Traumatic Brain Injury
Lipszyc, J., Levin, H., Hanten, G., Hunter, J., Dennis, M., & Schachar, R. (2014) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acu004 · Cited by 20 · cited 3× · see citing works
“Similar processes are known to be disrupted in individuals with traumatic brain injury or stroke (Lipszyc et al., 2014; Ornstein et al., 2013; Sinopoli, Schachar, & Dennis, 2011) and, like individuals with brain injury, childhood cancer survivors need longterm follow- up care to identify and treat late effects (Blaauw…”
BackgroundResultSelf-citationZou, Q., Yang, Y., Gao, J., Gu, H., & Wang, D. J. J. (2011) · Journal of Cognitive Science · doi:10.17791/jcs.2011.12.2.129 · Cited by 15 · see citing works
The Influence of Chemotherapy on Survival in Acute Leukemia
Mangalik, A., Boggs, D. R., WINTROBE, M. M., et al. (1966) · Blood · doi:10.1182/blood.v27.4.490.490 · Cited by 15 · see citing works
Maloney, K. W., Devidas, M., Mattano, L. A., Friedmann, A. M., Buckley, P. J., Borowitz, M. J., Carroll, A. J., Gastier, J. M., Heerema, N. A., Kadan‐Lottick, N. S., et al. (2013) · Blood · doi:10.1182/blood.v122.21.837.837 · Cited by 11 · see citing works
Borowitz, M. J., Devidas, M., Bowman, W. P., et al. (2006) · Blood · doi:10.1182/blood.v108.11.219.219 · Cited by 7 · cited 11× · see citing works
“Since MTX is delivered through all phases of ALL treatment, folate metabolism may be altered for an extended period, possibly resulting in build- up of homocysteine (Fox & Stover, 2008; Krull et al., 2016; Li et al., 2010; Steinfeld et al., 2009), and/or secondary metabolic alterations (van der Plas et al., 2015; Stei…”
BackgroundMethodInfluential
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Chemotherapy-induced cognitive impairments: A systematic review of the animal literature
Matsos, A., & Johnston, I. N. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.05.001 · Cited by 70 · see citing works
Chemotherapy and the pediatric brain
Ikonomidou, C. (2018) · Molecular and Cellular Pediatrics · doi:10.1186/s40348-018-0087-0 · Cited by 55 · see citing works
Obsessive compulsive disorder and response inhibition: Meta-analysis of the stop-signal task.
Mar, K. D., Townes, P., Pechlivanoglou, P., Arnold, P. D., & Schachar, R. J. (2021) · Journal of Psychopathology and Clinical Science · doi:10.1037/abn0000732 · Cited by 48 · see citing works
Self-citationTremolada, M., Taverna, L., Bonichini, S., Basso, G., & Pillon, M. (2017) · Cancers · doi:10.3390/cancers9060055 · Cited by 42 · see citing works
“Hill et al. [35] found that survivors who had received both Central Nervous System (CNS) irradiation (Cranial Radiotherapy (CRT)) and intrathecal methotrexate (IT-MTX) had significantly worse body image, lower school achievement, and worse overall adjustment than those who received IT-MTX without CRT.”
Backgroundvan der Plas, E. A. A., Erdman, L., Nieman, B. J., Weksberg, R., Butcher, D. T., O’Connor, D. L., Aufreiter, S., Hitzler, J. K., Guger, S., Schachar, R. J., et al. (2017) · Child Neuropsychology · doi:10.1080/09297049.2017.1386170 · Cited by 41 · see citing works
“…performance: someone who had difficulty stopping would be presented with consecutively shorter delays (i.e., earlier stop signal), while someone with no difficulty stopping would be presented with consecutively longer delays (see (Crosbie et al., 2013; van der Plas et al., 2016) for more details).”
BackgroundMethodInfluentialSelf-citationBrain Imaging in Pediatric Cancer Survivors: Correlates of Cognitive Impairment
Kesler, S. R., Sleurs, C., McDonald, B. C., et al. (2021) · Journal of Clinical Oncology · doi:10.1200/jco.20.02315 · Cited by 41 · see citing works
Self-citationZhou, C., Zhuang, Y., Lin, X., Michelson, A. D., & Zhang, A. (2019) · British Journal of Haematology · doi:10.1111/bjh.16279 · Cited by 37 · see citing works
“…(Porto et al., 2008; Genschaft et al., 2013; Edelmann et al., 2014) in cortical areas, including the frontal, temporal and parietal regions and subcortical regions (Dellani et al., 2008; Porto et al., 2008; Kesler et al., 2010; Monje et al., 2013; Zeller et al., 2013; van der Plas et al., 2017).”
BackgroundResultInfluentialGandy, K. C., Scoggins, M., Jacola, L. M., Litten, M., Reddick, W. E., & Krull, K. R. (2021) · JNCI Cancer Spectrum · doi:10.1093/jncics/pkab069 · Cited by 32 · see citing works
“In particular, working memory performance correlated with white matter volume in the amygdala, thalamus, striatum, and corpus callosum, and response inhibition performance correlated with white matter volume in the frontal lobe (46).”
BackgroundResultMavrea, K., Efthymiou, V., Katsibardi, Κ., Tsarouhas, K., Kanaka‐Gantenbein, C., Spandidos, D. A., Chrousos, G. P., Kattamis, A., & Bacopoulou, F. (2021) · Oncology Letters · doi:10.3892/ol.2021.12523 · Cited by 33 · see citing works
Godoy, P. B. G., Simionato, N. M., de Mello, C. B., & Suchecki, D. (2020) · Neuropsychology Review · doi:10.1007/s11065-020-09446-4 · Cited by 22 · see citing works
“Importantly, poorer performance in Color-Word Interference Test inhibition task was associated with longer time elapsed between the diagnosis and the neuropsychological assessment in one study (Winter et al., 2014), but not in another (van der Plas et al., 2016).”
BackgroundInfluentialvan der Plas, E. A. A., Noakes, L. S., Butcher, D. T., Weksberg, R., Galin-Corini, L., Wanstall, E. A., Te, P., Hopf, L., Guger, S., Spiegler, B. J., et al. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102428 · Cited by 22 · see citing works
Self-citationJones, R. M., & Pattwell, S. S. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100657 · Cited by 21 · see citing works
Cerebrospinal Fluid Biomarkers in Childhood Leukemias
Ikonomidou, C. (2021) · Cancers · doi:10.3390/cancers13030438 · Cited by 19 · see citing works
Noakes, L. S., Przybycien, T. S., Forwell, A., Nicholls, C., Zhou, Y., Butcher, D. T., Weksberg, R., Guger, S., Spiegler, B. J., Schachar, R. J., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-0551 · Cited by 17 · see citing works
“decreased white matter volumes (7, 8), and reduced cortical and subcortical volumes (7).”
BackgroundSelf-citationTremolada, M., Taverna, L., Bonichini, S., Pillon, M., & Biffi, A. (2019) · Children · doi:10.3390/children6080092 · Cited by 16 · see citing works
“Verbal competence, main executive functions and complex visual-spatial tasks have been found to be impaired in childhood survivors of ALL (acute lymphoblastic leukemia) [10], with a lower performance in measures of working memory than controls [11] and a decline in intelligence and academic achievement [12].”
BackgroundBansal, R., Bhojwani, D., Sun, B. F., Sawardekar, S., Wayne, A. S., Ouassil, H., Gupte, C., Marcelino, C., Anaya, M. J. G., Luna, N., et al. (2024) · Pediatric Research · doi:10.1038/s41390-024-03351-9 · Cited by 15 · see citing works
Stefancin, P. L., Cahaney, C., Parker, R. I., et al. (2020) · NMR in Biomedicine · doi:10.1002/nbm.4296 · Cited by 13 · see citing works
Global and Regional White Matter Fractional Anisotropy in Children with Chronic Kidney Disease
van der Plas, E. A. A., Solomon, M. A., Hopkins, L., Koscik, T. R., Schultz, J. L., Brophy, P. D., Nopoulos, P., & Harshman, L. A. (2021) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2021.11.006 · Cited by 13 · see citing works
Self-citationŠkurlová, M., Holubová, K., Kletečková, L., Kozák, T., Kubová, H., Horáček, J., & Valeš, K. (2023) · Medicinal Research Reviews · doi:10.1002/med.21977 · Cited by 12 · see citing works
Cahaney, C., Stefancin, P. L., Coulehan, K., Parker, R. I., Preston, T., Goldstein, J. H. R., Hogan, L. E., & Duong, T. Q. (2020) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2020.05.007 · Cited by 13 · see citing works
Konsman, J. P., Laaker, C. J., Lloyd, K. R., Hiltz, A. R., Smith, B. L., Smail, M. A., & Reyes, T. M. (2021) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2021.10.003 · Cited by 8 · see citing works
Long, T. M., Marsh, C. E., Dembo, L. G., et al. (2019) · Cardio-Oncology · doi:10.1186/s40959-019-0047-4 · Cited by 7 · see citing works
Laaker, C. J., Cantelon, C., Davis, A. B., Lloyd, K. R., Agyeman, N., Hiltz, A. R., Smith, B. L., Konsman, J. P., & Reyes, T. M. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.07.009 · Cited by 7 · see citing works
Chen, L., Zhan, Y., He, F., et al. (2020) · Cancer Management and Research · doi:10.2147/cmar.s253202 · Cited by 6 · see citing works
Should nitrous oxide ever be used in oncology patients receiving methotrexate therapy?
Forster, V. J., Bell, G., & Halsey, C. (2019) · Pediatric Anesthesia · doi:10.1111/pan.13760 · Cited by 6 · see citing works
Mergen, M., Scheid, S., Schubmehl, H., et al. (2022) · Cancers · doi:10.3390/cancers14194688 · Cited by 5 · see citing works
Oliveros, A., Poleschuk, M., Cole, P. D., Boison, D., & Jang, M. (2023) · International review of neurobiology · doi:10.1016/bs.irn.2023.08.003 · Cited by 5 · see citing works
Mazio, F., Aloj, G., Pastorino, G. M. G., et al. (2022) · Biology · doi:10.3390/biology11040499 · Cited by 5 · see citing works
Cui, J., Zheng, J., Niu, W., Bian, W., Wang, J., & Niu, J. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1093003 · Cited by 5 · see citing works
“Hyperleukocytosis results in leukostasis, which affects microcirculation perfusion (14, 15).”
BackgroundAlias, H., Ranai, N. M., Lau, S. C. D., & de Sonneville, L. M. J. (2024) · Scientific Reports · doi:10.1038/s41598-024-58128-1 · Cited by 5 · see citing works
“Deficits in both working memory and executive functioning have been reported among adult ALL survivors’ years after they had been off treatment 18,32 .”
BackgroundMethodInfluentialBalance deficits in long-term pediatric ALL survivors
Varedi, M., Ness, K. K., & McKenna, R. F. (2018) · Oncotarget · doi:10.18632/oncotarget.25967 · Cited by 5 · see citing works
Boulet‐Craig, A., Robaey, P., Barlaam, F., Laniel, J., Oswald, V., Jerbi, K., Sultan, S., Bertout, L., Drouin, S., Krajinović, M., et al. (2019) · Cancer · doi:10.1002/cncr.32374 · Cited by 5 · see citing works
“The treatment of ALL can lead to smaller volumes of gray and white matter and alterations in white matter microstructure in cortical and subcortical structures,(10-14) often associated with decreased cognitive performance.(10,11,15) Even when considering the impact of risk factors such as sex, age at diagnosis, treatm…”
BackgroundFiroozi, M., & Rouhi, S. (2020) · International Journal of Cancer Management · doi:10.5812/ijcm.96851 · Cited by 5 · see citing works
“(30) also showed more behavioral and emotional problems in children with AML after the treatment, which is consistent”
BackgroundNan, F., Gao, J., Li, L., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.952983 · Cited by 4 · see citing works
“Similarly, two crosssectional morphologic MRI studies showed significant reduction in the volume of multiple subcortical nuclei in longterm survivors of childhood acute lymphoblastic leukemia after CT (28, 29).”
BackgroundVanGilder, P., Tanner, J., Krull, K., & Sitaram, R. (2024) · Brain Science · doi:10.3390/brainsci14030218 · Cited by 4 · see citing works
“…in dorsolateral prefrontal cortex Cognitive deficits in ALL survivors have been associated with decreased white matter, and reduced volume in amygdala, thalamus, striatum, and corpus callosum [34–36], reduced fractional anisotropy [37], and smaller surface area in prefrontal cortical regions [38].”
BackgroundLaniel, J., Sultan, S., Sinnett, D., Laverdière, C., Krajinović, M., Robaey, P., Duong, L., & Lippé, S. (2024) · Cancers · doi:10.3390/cancers16061208 · Cited by 4 · see citing works
Treviño, M., Breitmeyer, B. G., Ris, M. D., Fletcher, J. M., Kamdar, K. Y., Okcu, M. F., Parke, E. M., & Raghubar, K. P. (2019) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2019.1643453 · Cited by 3 · see citing works
“…memory, such as digit span backward tasks, and computerized experimental paradigms, such as the visual N-back, have reported deficits among survivors of ALL relative to healthy controls (Ashford et al., 2010; Iyer et al., 2015; Luxton et al., 2014; Robinson et al., 2010; van der Plas et al., 2017).”
BackgroundResultInfluentialGodoy, P. B. G., de Mello, C. B., Pompéia, S., da Costa, C. M. L., Cypriano, M., & Suchecki, D. (2020) · Applied Neuropsychology Child · doi:10.1080/21622965.2020.1804907 · Cited by 3 · see citing works
Xiao, X., Chu, S.-J., Tang, J., et al. (2023) · Translational Cancer Research · doi:10.21037/tcr-22-2180 · Cited by 3 · see citing works
“To determine the effects of chemotherapy in ALL children, researchers compared 24 survivors treated with chemotherapy for 3–11 years to 21 controls (17).”
Gandy, K. C., Koscik, T. R., Alexander, T. C., Steinberg, J. D., Krull, K. R., & van der Plas, E. A. A. (2024) · Translational Pediatrics · doi:10.21037/tp-23-458 · Cited by 3 · see citing works
Self-citationExecutive function after childhood cancer: Insights from network neuroscience
Alonso, K. W., & Mabbott, D. (2025) · Neuro-Oncology Advances · doi:10.1093/noajnl/vdaf070 · Cited by 2 · see citing works
“50,51,64,68,90,91 These reductions correlate with poorer performance in behavior initiation, working memory, cognitive flexibility, inhibitory con-trol, and emotion regulation compared to typically developing peers.”
Cortical Morphometry and Its Relationship with Cognitive Functions in Children after non-CNS Cancer
Spitzhüttl, J. S., Kronbichler, M., Kronbichler, L., Benzing, V., Siegwart, V., Schmidt, M., Pastore‐Wapp, M., Kiefer, C., Slavova, N., Grotzer, M. A., et al. (2021) · Developmental Neurorehabilitation · doi:10.1080/17518423.2021.1898059 · Cited by 2 · see citing works
“with the literature examining differences in cortical morphology between Ccs without CNS involvement (leukemia) and controls.(9,11) In the present study, the largest between-group difference was found in the amygdala, a brain region maturing slowly until the late 20ies and playing a central role in the processing of e…”
BackgroundHow is Cerebral Perfusion Associated with Functional Outcome in Pediatric Cancer Survivors?
Schuerch, K., Grieder, M., Benzing, V., Siegwart, V., Federspiel, A., Slavova, N., Kiefer, C., Roessler, J., & Everts, R. (2023) · Developmental Neuropsychology · doi:10.1080/87565641.2023.2215360 · Cited by 2 · see citing works
Li, F., Guo, Y., Xu, G., Liu, Y., Chen, X., & Zhang, T. (2023) · Brain Imaging and Behavior · doi:10.1007/s11682-023-00794-2 · Cited by 2 · see citing works
“These regional white matter volume decreases were significantly associated with deficits in intelligence, academics or achievement, attention, working memory, and response inhibition (Carey et al., 2008; Genschaft et al., 2013; Reddick et al., 2006, 2014; van der Plas et al., 2017).”
InfluentialPediatric cancer in western China: a cross-sectional analysis of cognitive impairment
Chen, Z., Wang, Y., Liu, T., Xu, L., Lu, Y., Li, R., & Mo, L. (2025) · BMC Pediatrics · doi:10.1186/s12887-025-06440-8 · Cited by 1 · see citing works
Cognitive and Psychosocial Burden of Childhood Cancer Survivors in Greece: A Case–Control Study
Mavrea, K., Katsibardi, Κ., Roka, K., et al. (2026) · Medical Sciences · doi:10.3390/medsci14020171 · Cited by 1 · see citing works
“In line with our findings, several studies have demonstrated lower intelligence scores for CCS (mainly ALL patients) than controls [4,18–24].”
Ernst, M., Tibubos, A. N., Unterrainer, J. M., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-43874-4 · Cited by 1 · see citing works
Physiological stress reactivity in pediatric cancer survivors treated with chemotherapy
White, G. W., Rhind, S. G., Nathan, P. C., Caterini, J. E., Jones, H., & Wells, G. D. (2022) · Pediatric Blood & Cancer · doi:10.1002/pbc.29881 · Cited by 1 · see citing works
Zong, X., Liu, H., & Zhao, X.-Y. (2025) · European journal of medical research · doi:10.1186/s40001-025-02461-2 · Cited by 1 · see citing works
Childhood Cancer and Neuropsychological Challenges Regarding Clinical Assessment and Treatment Plans
Megari, K., Karagyozova, D., & Efthymiou, E. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-9689-6.ch014 · Cited by 1 · see citing works
Дорош, О. І., L., Troyanovska, O., et al. (2018) · SOVREMENNAYA PEDIATRIYA · doi:10.15574/sp.2018.91.74 · Cited by 1 · see citing works
White, G. (2020) · TSpace (University of Toronto)
Nan, F., Zhang, Y., Gao, J., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-556001/v1
“Similarly, two cross-sectional morphologic MRI studies showed signi cant reduction in the volume of multiple subcortical nuclei in long-term survivors of childhood acute lymphoblastic leukemia after CT(Genschaft et al., 2013; van der Plas et al., 2017).”
BackgroundLiang, Y., Wei, K., Liu, L., & Cao, W. (2021) · Research Square · doi:10.21203/rs.3.rs-664110/v1
Kirstin, S., Grieder, M., Valetin, B., Siegwart, V., Federspiel, A., Slavova, N., Claus, K., Jochen, R., & Everts, R. (2024) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2024.2356294
“Even non-brain tumour paediatric cancer survivors present structural and functional brain alterations associated with cognitive performance (Kesler et al., 2014; Siegwart et al., 2021; Spitzhüttl et al., 2020; van der Plas et al., 2017).”
Melcarne, G., Marangon, G. M., Incardona, R. M., et al. (2025) · Children · doi:10.3390/children12050574
“Research indicates that survivors of childhood ALL may experience impairments in verbal competence, key executive functions, complex visual–spatial tasks [6], and working memory tasks [7], and a decline in both intelligence and academic achievement [8].”
Choi, S. E., Ayoub, T., Lee, G., Wheeler, A. L., Guger, S., Weksberg, R., Ito, S., Schachar, R. J., Hitzler, J. K., & Nieman, B. J. (2025) · NeuroToxicology · doi:10.1016/j.neuro.2025.103363
Self-citationYeung, J., Hsu, P., Mak, J., Darbandi, A., Wheeler, A. L., Weksberg, R., Guger, S., Schachar, R. J., Ito, S., Hitzler, J. K., et al. (2025) · Acta Neuropathologica Communications · doi:10.1186/s40478-025-02171-0
Self-citation
- Authors
- van der Plas, E., Schachar, R. J., Hitzler, J., Crosbie, J., Guger, S. L., Spiegler, B. J., Ito, S., & Nieman, B. J.
- Affiliations
- Physiology and Experimental Medicine The Hospital for Sick Children Research Institute Toronto ON Canada
- University of Toronto (CA)
- Hospital for Sick Children (CA)
- Ontario Institute for Cancer Research (CA)
- ORCID
- Hitzler, Johann
- Venue
- Brain and Behavior
- Publisher
- Wiley
- Published
- 2016-12-29
- Volume
- 7
- Issue
- 2
- Pages
- e00621-e00621
- ISSN
- 2157-9032 (ISSN-L)
- 2162-3279
- PMC
- PMC5318374
- OpenAlex
- W2563015631
- Semantic Scholar
- 57556fa276ee868ca33cd64631cda1a26599e87e
- Cited by
- 59
- References
- 116
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 6 · 2023: 7 · 2022: 4 · 2021: 10 · 2020: 8 · 2019: 9 · 2018: 5 · 2017: 2
- FWCI
- 4.25
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Brain and Behavior (publishedVersion, cc-by)
- PubMed (publishedVersion)
- TSpace (University of Toronto) (submittedVersion, cc-by)
- Europe PMC (PubMed Central) (submittedVersion, cc-by)
- PubMed Central (submittedVersion, cc-by)
- Funders
- Hospital for Sick Children
- Ontario Mental Health Foundation
- Canadian Cancer Society Research Institute
- Canadian Institutes of Health Research
- Pediatric Oncology Group of Ontario
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Acute Lymphoblastic Leukemia research
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Childhood Cancer Survivors' Quality of Life
- Keywords
- childhood acute lymphoblastic leukemia, cancer survivors, chemotherapy-induced neurotoxicity, brain structure, white matter volume, gray matter volume, working memory, response inhibition, amygdala, thalamus, striatum, corpus callosum, frontal white matter, cognitive function, psychopathology
- MeSH terms
- Adolescent, Child, Humans, Inhibition, Psychological, Magnetic Resonance Imaging, Male, Memory, Short-Term, Survivors, Precursor Cell Lymphoblastic Leukemia-Lymphoma, Cognitive Dysfunction, White Matter, Gray Matter
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