Neurocognitive Correlates of Response to Treatment in Late-Life Depression
Open accessAbstract
Depression is often associated with neurocognitive deficits in older adults, particularly in the domains of information processing speed, episodic memory, and executive functions. Greater neurocognitive dysfunction while depressed is associated with a less effective treatment response; however, questions remain about the specific variables that characterize patients showing low treatment response and persistent cognitive deficiencies. OBJECTIVES The authors examined neurocognitive variables that differentiated patients who showed robust versus weak responses to antidepressant therapy. PARTICIPANTS The baseline sample included 110 women and 67 men, with a mean age of 69.1 years (SD = 6.9) and mean education of 14 years (SD = 3.3). DESIGN Patients enrolled in a treatment study completed both a structured diagnostic assessment for depression and neuropsychological testing at study entry and one-year follow-up. MEASUREMENTS Clinicians rated patient depression using the MADRS. Neuropsychological assessments consisted of prose recall and percent retention (WMS-III Logical Memory), word-list recall, attention and visuomotor processing speed (Trail Making A, Symbol-Digit Modalities), and mental flexibility (Trail Making B). INTERVENTIONS Patients underwent treatment for depression following the guidelines of the Duke STAGED approach. RESULTS Individuals who demonstrated the greatest improvement in mood symptoms at follow-up exhibited better prose recall and faster processing speed at baseline than individuals who demonstrated weaker treatment responses. These differences remained after controlling for depression severity at both time-points. CONCLUSION The current results suggest that better pre-treatment cognitive function, particularly in verbal memory, is associated with a greater treatment response in late life depression.
AI snapshot
Written from the paper’s full text.
TL;DR
In older adults with major depression, better baseline verbal memory and processing speed predicted greater one-year antidepressant treatment response, independent of baseline depression severity. Differences attenuated after controlling for follow-up depression severity, and effect sizes were small.
Key findings
- High treatment responders showed better baseline delayed prose recall (LM delayed recall: F(1,97)=15.124, p=.001, η²=.135), prose percent retention (F(1,97)=9.56, p=.001, η²=.090), delayed word-list recall (F(1,97)=5.210, p=.025, η²=.051), and processing speed (SDMT: F(1,93)=5.951, p=.017, η²=.060) than low responders after covarying baseline depression.
- Trail Making Test A and B did not significantly differ between response groups; TMT-B was in the expected direction but not significant (F(1,95)=3.026, p=.085, η²=.031).
- Patients with moderate-to-severe baseline depression (MADRS ≥ 26, n=52) improved more at one year than those with mild-to-moderate depression (MADRS < 26, n=122; F(1,99)=25.27, p=.001, η²=.203).
- At one-year follow-up, high responders’ cognitive advantages were maintained when controlling for baseline depression alone, but were no longer significant after covarying follow-up depression severity; TMT-B change was not significant (F(1,92)=.145, p>.05), though mean times suggested possible practice effects.
Methods
- Baseline sample: 177 participants aged 60+ with DSM-IV major depressive disorder (110 women, 67 men; mean age 69.1 years, SD=6.9; mean education 14 years, SD=3.3); 103 returned for one-year follow-up.
- Participants received depression treatment following the Duke STAGED algorithm and completed MADRS plus neuropsychological testing at study entry and one-year follow-up: WMS-R Logical Memory delayed recall and percent retention, CERAD word-list delayed recall, Trail Making A/B, and Symbol Digit Modalities Test.
- Analyses used independent-samples t-tests for demographics and ANCOVA comparing high versus low treatment responders, with baseline depression as a covariate and follow-up depression covaried when follow-up cognition was analyzed; high response was defined as MADRS change greater than the baseline sample SD.
Limitations
- The paper states there was no waitlist control group or single-agent design, so natural remission and cognitive functioning without treatment could not be assessed.
- The naturalistic STAGED approach did not strictly control treatment agent or dosage, though it was intended to enhance external validity.
- The paper notes that effect sizes were small (<.3) across measures, raising clinical-versus-statistical significance concerns, and that the brief battery was not a comprehensive neurocognitive assessment.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 13 cited sources checked · 0 supported · 0 flagged
- Findingown data
In older adults with late-life depression, after covarying for depression severity at follow-up, the performance advantages for the high response group at 1-year follow-up were no longer significant, except for TMT-B.
“These differences, however, were no longer significant after covarying depression severity at follow-up, with the exception of TMT-B.”
Quote in the paperSubstantial claim - Findingown data
In older adults with late-life depression, performance advantages for the high response group at 1-year follow-up were maintained when controlling for baseline depression alone.
“Performance advantages for the high response group were maintained at 1-year follow-up when controlling for baseline depression alone.”
Quote in the paperSubstantial claim - Findingown data
In older adults with late-life depression, effect sizes were small (<.3) across all measures.
“Although performances were significantly different between the two groups, effect sizes (<.3) were small across all measures.”
Quote in the paperSubstantial claim - Findingown data
In older adults with late-life depression, patients in the moderate-to-severe depression group at baseline showed more improvement in depressive symptoms at one-year follow-up than the mild-to-moderate group.
“Patients in the moderate-to-severe group at baseline showed more improvement than the mild-to-moderate group in depressive symptoms at one-year follow-up (F (1, 99) = 25.27, p = .001, η2 = .203, see Table 1).”
Quote in the paperSubstantial claim - Findingown data
In older adults with late-life depression, high treatment responders had better baseline delayed word-list recall than low responders, after controlling for baseline depression severity.
“better delayed word-list recall (F (1, 97) = 5.210, p = .025, η2 = .051)”
Quote in the paperSubstantial claim
- Findingown data
In older adults with late-life depression, TMT-B change scores were not significantly different after covarying depression severity at follow-up.
“Although TMT-B change scores were not significantly different after covarying depression severity at follow-up (F {1, 92} = .145, p > .05)”
Quote in the paperNot a substantial claim - Findingreasoning
The current results do not localize neuropsychological deficits in processing speed or episodic memory to specific structural abnormalities in frontostriatal pathways or the hippocampus.
“The current results do not localize neuropsychological deficits in processing speed or episodic memory to specific structural abnormalities in frontostriatal pathways or the hippocampus.”
Quote in the paperSubstantial claim - Findingown data
In older adults with late-life depression, the baseline differences in prose recall and processing speed between high and low responders remained after controlling for depression severity at both time-points.
“These differences remained after controlling for depression severity at both time-points.”
Quote in the paperSubstantial claim - Findingown data
In older adults with late-life depression, baseline depression severity did not appear to influence the relationship between baseline neurocognitive function and the magnitude of treatment response.
“Severity of depression at baseline did not appear to influence the relationship between baseline neurocognitive function and the magnitude of treatment response.”
Quote in the paperSubstantial claim - Findingown data
In older adults with late-life depression, high and low treatment responders did not differ significantly on baseline TMT-A performance.
“In contrast, the two patient groups did not differ signficantly on TMT-A or TMT-B performances, though differences on the latter task were in the expected direction (F (1, 95) = 3.026, p = .085, η2 = .031).”
Quote in the paperNot a substantial claim - Findingown data
In older adults with late-life depression, high treatment responders had higher baseline LM percent retention than low responders, after controlling for baseline depression severity.
“higher LM percent retention (F (1, 97) = 9.56, p = .001, η2 = .090)”
Quote in the paperSubstantial claim - Findingown data
In older adults with late-life depression, individuals who showed the greatest improvement in mood symptoms at one-year follow-up had faster baseline processing speed (SDMT) than individuals who showed weaker treatment responses, after controlling for baseline depression severity.
“Individuals who demonstrated the greatest improvement in mood symptoms at follow-up exhibited better prose recall and faster processing speed at baseline than individuals who demonstrated weaker treatment responses.”
- Also stated in: § Results · plain
“higher SDMT scores F (1, 93) = 5.951, p = .017, η2 = .060) than low response participants.”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
In older adults with late-life depression, of all cognitive variables, baseline LM delayed recall produced the largest effect sizes between treatment response groups.
“Of all cognitive variables, baseline LM delayed recall produced the largest effect sizes between treatment response groups.”
Quote in the paperSubstantial claim - Findingown data
In older adults with late-life depression, individuals who showed the greatest improvement in mood symptoms at one-year follow-up had better baseline prose recall (LM delayed recall) than individuals who showed weaker treatment responses, after controlling for baseline depression severity.
“Patients in the high response group at Year 1 demonstrated better baseline performance on several of the neuropsychological measures than the low response group. When covarying for the effects of baseline depression, high response individuals demonstrated better baseline LM delayed recall (F (1, 97) = 15.124, p = .001, η2 = .135)”
- Also stated in: § RESULTS · boosted
“Individuals who demonstrated the greatest improvement in mood symptoms at follow-up exhibited better prose recall and faster processing speed at baseline than individuals who demonstrated weaker treatment responses.”
Quote in the paperSubstantial claim - Also stated in: § RESULTS · boosted
- Premisenone given
Greater neurocognitive dysfunction while depressed is associated with a less effective treatment response.
“Greater neurocognitive dysfunction while depressed is associated with a less effective treatment response; however, questions remain about the specific variables that characterize patients showing low treatment response and persistent cognitive deficiencies.”
Quote in the paperSubstantial claim - Interpretationown data
In older adults with late-life depression, processing speed (SDMT performance) emerged as the strongest putative frontostriatal indicator of treatment response.
“The current results particularly highlight the role of processing speed (SDMT performance), which emerged as the strongest putative frontostriatal indicator of treatment response.”
Quote in the paperSubstantial claim- Rests on an assumption: The neuropsychological measures used are valid indicators of frontostriatal and hippocampal function.
- Interpretationreasoning
In the study, patients with more severe depression at baseline were not necessarily treated more aggressively than less depressed individuals.
“Therefore, patients with more severe depression at baseline were not necessarily treated more aggressively than less depressed individuals.”
Quote in the paperSubstantial claim - Interpretationown data
In older adults with late-life depression, pre-treatment verbal memory may be a useful predictor of response to treatment.
“The current findings, however, provide somewhat unique evidence indicating that pre-treatment verbal memory may be a useful predictor of response to treatment.”
Quote in the paperSubstantial claim- Rests on an assumption: The sample of older adults with late-life depression is representative of the broader LLD population.
- Rests on an assumption: The neuropsychological measures used are valid indicators of frontostriatal and hippocampal function.
- Interpretationown data
In older adults with late-life depression, better pre-treatment cognitive function, particularly in verbal memory, is associated with a greater treatment response.
“The current results suggest that better pre-treatment cognitive function, particularly in verbal memory, is associated with a greater treatment response in late life depression.”
Quote in the paperSubstantial claim- Rests on an assumption: The sample of older adults with late-life depression is representative of the broader LLD population.
- Rests on an assumption: The neuropsychological measures used are valid indicators of frontostriatal and hippocampal function.
- Interpretationreasoning
In older adults with late-life depression, treatment response may be complicated by heterogeneous etiologies.
“Rather, these findings highlight that neuropsychological correlates of treatment response extend beyond previous findings of initiation and perseveration, and provide additional evidence that treatment response may be complicated by heterogeneous etiologies in LLD.”
Quote in the paperSubstantial claim- Rests on an assumption: The neuropsychological measures used are valid indicators of frontostriatal and hippocampal function.
- Premisecitation
Persisting depressive episodes are associated with hippocampal atrophy.
“There is also evidence that persisting depressive episodes are associated with hippocampal atrophy (19), possibly as a result of impaired regulation of glucocorticoid secretion (20–21).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [19] Sheline, 1999, Depression duration but not age predicts hippocampal volume loss in medically healthy women with recurrent major depression, J Neurosci source
Not checked in the free run.
- cites [20] Sheline, 1996, Hippocampal atrophy in recurrent major depression, Proc Natl Acad Sci USA source
Not checked in the free run.
- cites [21] Mitchell, 1996, Depression-related cognitive impairment: possibilities for its pharmacological treatment, J Affect Disord source
Not checked in the free run.
- Study design and conductreasoning
The STAGED approach does not strictly control the treatment agent and dosage.
“As opposed to single agent designs, the STAGED approach does not strictly control the treatment agent and dosage; rather, the goal is to emphasize a specific agent across participants while maintaining flexibility that achieves an optimal treatment response for each individual.”
Quote in the paperSubstantial claim - Premisecitation
Greater severity of vascular pathology in frontostriatal circuits is associated with slowed treatment response.
“Greater severity of vascular pathology in these frontostriatal circuits is associated with slowed treatment response (16–18).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [16] Hickie, 1995, Subcortical hyperintensities on magnetic resonance imaging: clinical correlates and prognostic significance in patients with severe depression, Biol Psychiatry source
Not checked in the free run.
- cites [17] Simpson, 1997, 1997 IPA/Bayer Research Awards in Psychogeriatrics. Subcortical hyperintensities in late-life depression: acute response to treatment and neuropsychological impairment, Int Psychogeriatr source
Not checked in the free run.
- cites [18] Steffens, 2005, Biological and social predictors of long-term geriatric depression outcome, Int Psychogeriatr source
Not checked in the free run.
- Interpretationown data
In older adults with late-life depression, neuropsychological correlates of treatment response extend beyond previous findings of initiation and perseveration.
“Rather, these findings highlight that neuropsychological correlates of treatment response extend beyond previous findings of initiation and perseveration, and provide additional evidence that treatment response may be complicated by heterogeneous etiologies in LLD.”
Quote in the paperSubstantial claim- Rests on an assumption: The neuropsychological measures used are valid indicators of frontostriatal and hippocampal function.
- Premisecitation
Worse performances in executive functions have been associated with lower rates of remission in late-life depression.
“Executive functions have received particular attention as a correlate of treatment response because worse performances in this domain have been associated with lower rates of remission in LLD.”
Quote in the paperSubstantial claim - Interpretationreasoning
In older adults with late-life depression, brief assessments of memory and processing speed may have clinical utility when treating patients.
“Nevertheless, these results indicate that brief assessments of memory and processing speed may have clinical utility when treating patients with LLD.”
Quote in the paperSubstantial claim- Rests on an assumption: The sample of older adults with late-life depression is representative of the broader LLD population.
- Rests on an assumption: The neuropsychological measures used are valid indicators of frontostriatal and hippocampal function.
- Premisecitation
Deficits in initiation and perseveration are associated with reduced 8- and 12-week treatment response.
“while deficits in initiation and perseveration were associated with reduced 8- and 12-week treatment response (5, 25).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [5] Potter, 2004, Prefrontal neuropsychological predictors of treatment remission in late-life depression, Neuropsychopharmacology source
Not checked in the free run.
- cites [25] Cummings, 1995, Anatomic and behavioral aspects of fronal-subcortical circuits, Ann NY Acad Sci source
Not checked in the free run.
- Study design and conductreasoning
The naturalistic treatment approach in the study was designed to enhance external validity and application in standard treatment settings.
“While we do not address natural symptom remission, the naturalistic treatment approach in this study was designed to enhance external validity and application in standard treatment settings.”
Quote in the paperSubstantial claim - Premisecitation
Smaller hippocampal volume at baseline is associated with poorer response to treatment after one year in patients with late-life depression.
“In addition, smaller hippocampal volume at baseline has been associated with poorer response to treatment after one year in patients with LLD (32).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] Frodl, 2004, Hippocampal and amygdala changes in patients with major depressive disorder and healthy controls during a 1-year follow-up, J Clin Psychiatry source
Not checked in the free run.
- May combine two claims. 9
- Classified as probably not a substantial claim. 9
May combine two claims.
Findingown dataIn older adults with late-life depression, participants in the high response group on average had MADRS scores falling within the remitted range, while the low response group on average remained in the mildly depressed range.
“Participants in the high response group on average had MADRS scores falling within the remitted range, while the low response group on average remained in the mildly depressed range.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn older adults with late-life depression, high and low treatment responders did not differ significantly on baseline TMT-B performance, though differences were in the expected direction.
“In contrast, the two patient groups did not differ signficantly on TMT-A or TMT-B performances, though differences on the latter task were in the expected direction (F (1, 95) = 3.026, p = .085, η2 = .031).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn older adults with late-life depression, mean TMT-B differences suggested improved (faster) times on average for the high response group and worse (slower) times on average for the low response group.
“the mean differences did suggest improved (faster) times on average for the high response group (M = −3.44, SD = 51.83) and worse (slower) times on average for the low response group (M = 7.88, SD = 39.18).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataIn the study, chi-square analyses showed no differences between high and low response groups for current psychotropic medication use.
“Chi-square analyses showed no differences between groups for current psychotropic medication use (χ2 (2) = .730, p > .05).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataIn the study, 103 patients were available for a follow-up assessment after one year.
“One-hundred three patients were available for a follow-up assessment after one year.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataIn the study, those who did and did not return for follow-up did not differ in age, education, or baseline depression severity.
“Those who did and did not return for follow-up did not differ in age (t {175} = 1.57, p = .106), education (t {175} = 1.29, p = .199), or baseline depression severity (t {172} = .229, p = .819).”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductnone givenThe study included a 1-year follow-up interval, assessment of neuropsychological performance at both baseline and follow-up, and control for the effects of depression severity at both baseline and follow-up assessments.
“The current study builds upon existing literature with the inclusion of a 1-year follow-up interval relative to previous 8–16 week intervals, assessment of neuropsychological performance at both baseline and follow-up, and control for the effects of depression severity at both baseline and follow-up assessments.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataIn the study, high response and low response groups did not differ in age or education.
“High response and low response groups did not differ in age (F (1, 98) = 2.79, p = .10, η2 = .028) or education (F (1, 98) =.348, p = .557, η2 = .004).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataIn the study, rates of ECT did not differ between the high response and low response groups.
“Rates of ECT did not differ between the high response and low response groups (χ2 (1) = .099, p > .05).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenIn the study, baseline and 1-year MADRS scores were obtained from the treating psychiatrist, who was blind to neuropsychological performance for each patient.
“Baseline and 1-year MADRS scores were obtained from the treating psychiatrist, who was blind to neuropsychological performance for each patient.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenIn the study, the neuropsychological test battery was administered by a trained psychometrician who was blind to depression status.
“The test battery was administered by a trained psychometrician who was blind to depression status.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataIn the study, depression scores at 1-year follow-up were covaried when appropriate.
“Similarly, depression scores at 1-year follow-up were also covaried when appropriate cognitive functioning at follow-up was included in analyses.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningIn the study, baseline depression was treated as a covariate throughout analyses to control for variance associated with an acute mood disturbance.
“Baseline depression was treated as a covariate throughout analyses to control for variance associated with an acute mood disturbance.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningThe study design did not include a waitlist control group or single agent design, so the study does not have data concerning cognitive functioning and natural remission in LLD.
“For instance, this design did not include a waitlist control group or single agent design, so we do not have data concerning cognitive functioning and natural remission in LLD.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationResponse inhibition predicts 8-week and 4-month treatment response.
“One study found response inhibition to predict 8-week treatment (22–23) and 4-month treatment response (24)”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [22] Sneed, 2007, Response inhibition predicts poor antidepressant treatment response in very old depressed patients, Am J Geriatr Psychiatry source
Not checked in the free run.
- cites [23] Alexopoulos, 2005, Executive dysfunction and the course of geriatric depression, Biol Psychiatry source
Not checked in the free run.
- cites [24] Bogner, 2007, The effects of memory, attention, and executive dysfunction on outcomes of depression in a primary care intervention trial: the PROSPECT study, Int J Geriatr Psychiatry source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe MADRS is a 10-item scale of depression severity designed to be sensitive to symptom change in clinical trials.
“The Montgomery-Asberg Depression Rating Scale (MADRS) is a 10-item scale of depression severity that is based on patient report and clinical observation. This measure was designed to be sensitive to symptom change in clinical trials (34).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34] Montgomery, 1979, A new depression scale designed to be sensitive to change, Br J Psychiatry source
Not checked in the free run.
The paper relies on this without support.
The sample of older adults with late-life depression is representative of the broader LLD population.
“The current results suggest that better pre-treatment cognitive function, particularly in verbal memory, is associated with a greater treatment response in late life depression.”
The paper relies on this without support.
The one-year follow-up period is sufficient to capture treatment response in late-life depression.
“Patients enrolled in a treatment study completed both a structured diagnostic assessment for depression and neuropsychological testing at study entry and one-year follow-up.”
The paper relies on this without support.
The neuropsychological measures used are valid indicators of frontostriatal and hippocampal function.
“We included measures of attention, processing speed, and mental flexibility that are associated with frontostriatal function, and measures of episodic memory that are associated with hippocampal function.”
The paper relies on this without support.
The naturalistic treatment approach does not introduce confounding that would explain the association between baseline cognition and treatment response.
“While we do not address natural symptom remission, the naturalistic treatment approach in this study was designed to enhance external validity and application in standard treatment settings.”
The paper relies on this without support.
The exclusion of patients with dementia or low MMSE does not bias the sample in a way that affects the results.
“Participants were excluded if they met clinical criteria for dementia at enrollment, or if they maintained a score below 25/30 on the Mini Mental State Examination (MMSE) across baseline and the initial 8 weeks of treatment.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Positive functional outcomes of individuals with TRD are hampered by lingering neurocognitive dysfunction that decreases intervention efficacy and increases relapse.
“Positive functional outcomes of individuals with TRD are hampered by lingering neurocognitive dysfunction that decreases intervention efficacy (Alexopoulos et al., 2015;Gonda et al., 2015;Story et al., 2008) and increases relapse (Alexopoulos, 2021;Gonda et al., 2015;Manning et al., 2015).”
From Neurocognitive effects of theta burst stimulation for treatment-resistant depression in adults: A systematic review and recommendations for future research (2025) · cites this paper as Story et al., 2008
The Discussion (page not provided) reports that depressed older adults with poorer baseline verbal memory and processing speed had less treatment response over one year. It does not establish that lingering dysfunction causes reduced intervention efficacy in people with treatment-resistant depression or measure functional outcomes. The sentence cites other sources, not Story et al., for the separate relapse claim. (LLM, conf=0.86)
Experimental — accuracy not yet measuredIn adults with late-life major depressive disorder (n = 177), greater pretreatment verbal memory was associated with better treatment response.
“In adults with late-life MDD (n = 177), greater pretreatment verbal memory was associated with better treatment response [75].”
From Cognitive remission: a novel objective for the treatment of major depression? (2016) · cites this paper as [75]
Statistics that don’t add up
Each reported p-value recomputed from its test statistic and degrees of freedom.
p-value fits an unstated one-tailed test: F (1, 97) = 9.56, p = .001
MinorThe paper reports p = .001 here; recomputing from the test statistic and its degrees of freedom gives p = .003. The reported value is what a one-tailed test gives, but the paper does not say near this result that a one-tailed test was used.
Reported p = .001 · recomputed p = .003
“F (1, 97) = 9.56, p = .001”
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.
- Doesn’t add upF(1, 97) = 9.56reported p = .001 · recomputed p = .003
“F (1, 97) = 9.56, p = .001”
- ConsistentF(1, 99) = 25.27reported p = .001 · recomputed p < .001
“F (1, 99) = 25.27, p = .001”
The paper prints p at a floor (such as p < .001)
- ConsistentF(1, 98) = 2.79reported p = .1 · recomputed p = .098
“F (1, 98) = 2.79, p = .10”
- ConsistentF(1, 98) = 0.348reported p = .557 · recomputed p = .557
“F (1, 98) =.348, p = .557”
- Consistentχ²(2) = 0.73reported p > .05 · recomputed p = .694
“χ2 (2) = .730, p > .05”
- Consistentχ²(1) = 0.099reported p > .05 · recomputed p = .753
“χ2 (1) = .099, p > .05”
- ConsistentF(1, 97) = 15.124reported p = .001 · recomputed p < .001
“F (1, 97) = 15.124, p = .001”
The paper prints p at a floor (such as p < .001)
- ConsistentF(1, 97) = 5.21reported p = .025 · recomputed p = .025
“F (1, 97) = 5.210, p = .025”
- ConsistentF(1, 93) = 5.951reported p = .017 · recomputed p = .017
“F (1, 93) = 5.951, p = .017”
- ConsistentF(1, 95) = 3.026reported p = .085 · recomputed p = .085
“F (1, 95) = 3.026, p = .085”
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.
Claim that all participants completed follow-up testing conflicts with attrition
MinorThe Methods say all participants completed testing at one-year follow-up, but the Results say only 103 of the 177 baseline participants were available for follow-up.
“All participants completed this brief neuropsychological assessment battery at study entry and 1-year follow-up.”
“One-hundred three patients were available for a follow-up assessment after one year.”
Logical Memory test version differs between sections
MinorThe abstract identifies the Logical Memory measure as WMS-III, whereas the Methods identify the administered measure as WMS-R.
“prose recall and percent retention (WMS-III Logical Memory)”
“the Logical Memory (LM) subtest of the Wechsler Memory Scale-Revised (WMS-R; 38) was administered to patients”
Cites
A new depression scale designed to be sensitive to change
Montgomery, S. A., & Åsberg, M. (1979) · British Journal of Psychiatry · doi:10.1192/bjp.134.4.382 · Cited by 13,962 · see citing works
Moms, J. C., Heyman, A., Mohs, R. C., Hughes, J. P., van Belle, G., Fillenbaum, G., Mellits, E. D., & Clark, C. (1989) · Neurology · doi:10.1212/wnl.39.9.1159 · Cited by 4,130 · see citing works
Consortium to Establish a Registry for Alzheimer's Disease (CERAD)
Fillenbaum, G., & Heyman, A. (2002) · doi:10.1002/0470846410.ch42(iii · Cited by 2,859 · see citing works
Benton, A. (1994) · Annual Review of Psychology · doi:10.1146/annurev.psych.45.1.1 · Cited by 2,298 · see citing works
Peter, H., Penzel, T., Peter, J. H., & Peter, J. G. (2025) · Springer Reference Medizin · doi:10.1007/978-3-662-65186-5_302294 · Cited by 2,278 · see citing works
Reynolds, C. R., & Powel, J. (1988) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/3.4.397 · Cited by 2,115 · see citing works
Hippocampal atrophy in recurrent major depression
Sheline, Y. I., Wang, P. W., Gado, M. H., Csernansky, J. G., & Vannier, M. W. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.9.3908 · Cited by 1,932 · see citing works
Sheline, Y. I., Sanghavi, M., Mintun, M. A., & Gado, M. H. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-12-05034.1999 · Cited by 1,382 · cited 1× · see citing works
“There is also evidence that persisting depressive episodes are associated with hippocampal atrophy (19), possibly as a result of impaired regulation of glucocorticoid secretion (20–21).”
Smith, A. (1973) · PsycTESTS Dataset · doi:10.1037/t27513-000 · Cited by 1,314 · see citing works
Untreated Depression and Hippocampal Volume Loss
Sheline, Y. I., Gado, M. H., & Kraemer, H. C. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.8.1516 · Cited by 1,180 · see citing works
Course of illness, hippocampal function, and hippocampal volume in major depression
MacQueen, G. M., Campbell, S., McEwen, B. S., Macdonald, K., Amano, S., Joffe, R. T., Nahmias, C., & Young, L. T. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0337481100 · Cited by 980 · see citing works
The cognitive correlates of white matter abnormalities in normal aging: A quantitative review.
Gunning-Dixon, F. M., & Raz, N. (2000) · Neuropsychology · doi:10.1037/0894-4105.14.2.224 · Cited by 794 · see citing works
The cognitive correlates of white matter abnormalities in normal aging: A quantitative review.
Gunning‐Dixon, F. M., & Raz, N. (2000) · Neuropsychology · doi:10.1037//0894-4105.14.2.224 · Cited by 790 · see citing works
MRI-defined vascular depression
(1997) · American Journal of Psychiatry · doi:10.1176/ajp.154.4.497 · Cited by 770 · see citing works
The anatomy of melancholia – focal abnormalities of cerebral blood flow in major depression
Bench, C. J., Friston, K. J., Brown, R. G., Scott, L. C., Frackowiak, R. S. J., & Dolan, R. J. (1992) · Psychological Medicine · doi:10.1017/s003329170003806x · Cited by 717 · see citing works
The Nature and Determinants of Neuropsychological Functioning in Late-LifeDepression
Butters, M. A., Whyte, E. M., Nebes, R. D., Begley, A. E., Dew, M. A., Mulsant, B. H., Zmuda, M. D., Bhalla, R., Meltzer, C. C., Pollock, B. G., et al. (2004) · Archives of General Psychiatry · doi:10.1001/archpsyc.61.6.587 · Cited by 622 · see citing works
Clinically defined vascular depression
(1997) · American Journal of Psychiatry · doi:10.1176/ajp.154.4.562 · Cited by 557 · see citing works
Reduced hippocampal volumes and memory loss in patients with early- and late-onset depression
Hickie, I., Naismith, S., Ward, P. B., Turner, K., Scott, E., Mitchell, P., Wilhelm, K., & Parker, G. (2005) · British Journal of Psychiatry · doi:10.1192/bjp.186.3.197 · Cited by 437 · see citing works
Depression and Disability in Late Life: Directions for Future Research
BRUCE, M. L. (2001) · American Journal of Geriatric Psychiatry · doi:10.1097/00019442-200105000-00003 · Cited by 411 · see citing works
Boone, K. B. (1992) · Archives of Neurology · doi:10.1001/archneur.1992.00530290141024 · Cited by 400 · see citing works
Hickie, I., Scott, E., Mitchell, P., Wilhelm, K., Austin, M.-P., & Bennett, B. (1995) · Biological Psychiatry · doi:10.1016/0006-3223(94)00174-2 · Cited by 398 · see citing works
Coffey, C. E., Figiel, G. S., Djang, W. T., & Weiner, R. D. (1990) · American Journal of Psychiatry · doi:10.1176/ajp.147.2.187 · Cited by 394 · see citing works
Paralimbic hypoperfusion in unipolar depression.
Mayberg, H. S., Lewis, P. J., Regenold, W. T., & Wagner, H. N. (1994) · PubMed · Cited by 374 · see citing works
Changes in Cognitive Functioning Following Treatment of Late-Life Depression
Butters, M. A., Becker, J. T., Nebes, R. D., Zmuda, M. D., Mulsant, B. H., Pollock, B. G., & Reynolds, C. F. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.12.1949 · Cited by 365 · see citing works
Anatomic and Behavioral Aspects of Frontal‐Subcortical Circuitsa
CUMMINGS, J. L. (1995) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1995.tb38127.x · Cited by 362 · see citing works
Raskin, J., Wiltse, C. G., Siegal, A., Sheikh, J., Xu, J., Dinkel, J. J., Rotz, B. T., & Mohs, R. C. (2007) · American Journal of Psychiatry · doi:10.1176/appi.ajp.164.6.900 · Cited by 336 · see citing works
Raskin, J., Wiltse, C. G., Siegal, A., Sheikh, J., Xu, J., Dinkel, J. J., Rotz, B. T., & Mohs, R. C. (2007) · American Journal of Psychiatry · doi:10.1176/ajp.2007.164.6.900 · Cited by 329 · see citing works
Executive dysfunction and the course of geriatric depression
Alexopoulos, G. S., Kiosses, D. N., Heo, M., Murphy, C. F., Shanmugham, B., & Gunning-Dixon, F. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.04.024 · Cited by 317 · see citing works
Nebes, R. D., Pollock, B. G., Houck, P. R., Butters, M. A., Mulsant, B. H., Zmuda, M. D., & Reynolds, C. F. (2003) · Journal of Psychiatric Research · doi:10.1016/s0022-3956(02)00085-7 · Cited by 275 · see citing works
Prefrontal Dysfunction and Treatment Response in Geriatric Depression
Kalayam, B., & Alexopoulos, G. S. (1999) · Archives of General Psychiatry · doi:10.1001/archpsyc.56.8.713 · Cited by 263 · see citing works
Cerebrovascular Disease and Depression Symptoms in the Cardiovascular Health Study
Steffens, D. C., Helms, M. J., Krishnan, K., & Burke, G. L. (1999) · Stroke · doi:10.1161/01.str.30.10.2159 · Cited by 259 · see citing works
Self-citationSimpson, S., Baldwin, R., Jackson, A., & Burns, A. S. (1998) · Psychological Medicine · doi:10.1017/s003329179800693x · Cited by 250 · see citing works
Frodl, T., Meisenzahl, E. M., Zetzsche, T., Höhne, T., Banac, S., Schorr, C., Jäger, M., Leinsinger, G., Bottlender, R., Reiser, M., et al. (2004) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v65n0407 · Cited by 227 · see citing works
Neuroanatomical substrates of depression in the elderly
Krishnan, K. R. R., McDonald, W. M., Doraiswamy, P. M., Tupler, L. A., Husain, M., Boyko, O. B., Figiel, G. S., & Ellinwood, E. H. (1993) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/bf02191522 · Cited by 198 · see citing works
Kumar, A. (2000) · Neuropsychopharmacology · doi:10.1016/s0893-133x(99)00124-4 · Cited by 181 · see citing works
Frontostriatal and Limbic Dysfunction in Late-Life Depression
Alexopoulos, G. S. (2002) · American Journal of Geriatric Psychiatry · doi:10.1097/00019442-200211000-00007 · Cited by 179 · see citing works
Neuropsychological Functioning and MRI Signal Hyperintensities in Geriatric Depression
Kramer‐Ginsberg, E., GREENWALD, B. S., Krishnan, K., Christiansen, B., Hu, J., Ashtari, M., Patel, M. C., & Pollack, S. Z. (1999) · American Journal of Psychiatry · doi:10.1176/ajp.156.3.438 · Cited by 172 · see citing works
Neuropsychological deficits among patients with late-onset minor and major depression
Elderkin‐Thompson, V., KUMAR, A., Bilker, W. B., Dunkin, J. J., Mintz, J., Moberg, P. J., Mesholam, R. I., & Gur, R. C. (2003) · Archives of Clinical Neuropsychology · doi:10.1016/s0887-6177(03)00022-2 · Cited by 171 · see citing works
Neuroanatomic Substrates of Depression in the Elderly
Krishnan, K. (1993) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/002383099300600107 · Cited by 149 · see citing works
Response Inhibition Predicts Poor Antidepressant Treatment Response in Very Old Depressed Patients
Sneed, J. R., Roose, S. P., Keilp, J. G., Krishnan, K. R. R., Alexopoulos, G. S., & Sackeim, H. A. (2007) · The American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3180302513 · Cited by 146 · see citing works
Prefrontal Neuropsychological Predictors of Treatment Remission in Late-Life Depression
Potter, G. G., Kittinger, J. D., Ryan Wagner, H., Steffens, D. C., & Ranga Rama Krishnan, K. (2004) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300551 · Cited by 132 · see citing works
Self-citationWorking memory in clinical depression: an experimental study
Channon, S., Baker, J. E., & Robertson, M. M. (1993) · Psychological Medicine · doi:10.1017/s0033291700038873 · Cited by 123 · see citing works
Memory impairment in patients with late-onset major depression: The effect of antidepressant therapy
Gallassi, R., Di Sarro, R., Morreale, A., & Amore, M. (2006) · Journal of Affective Disorders · doi:10.1016/j.jad.2006.01.018 · Cited by 118 · see citing works
1997 IPA/Bayer Research Awards in Psychogeriatrics
Simpson, S. W., Baldwin, R. C., Jackson, A., & Burns, A. (1997) · International Psychogeriatrics · doi:10.1017/s1041610297004432 · Cited by 115 · see citing works
Baldwin, R., Jeffries, S., Jackson, A., Sutcliffe, C., Thacker, N. A., Scott, M. L. J., & Burns, A. S. (2004) · Psychological Medicine · doi:10.1017/s0033291703008870 · Cited by 105 · see citing works
Depression and Disability in Late Life: Directions for Future Research
BRUCE, M. L. (2001) · American Journal of Geriatric Psychiatry · doi:10.1176/appi.ajgp.9.2.102 · Cited by 95 · see citing works
Psychomotor slowing and subcortical-type dysfunction in depression.
Hart, R. P., & Kwentus, J. (1987) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.50.10.1263 · Cited by 94 · see citing works
The Duke Somatic Treatment Algorithm for Geriatric Depression (STAGED) Approach
Steffens, D. C., McQuoid, D. R., MHS, McQuoid, D. R., Bartolomé Iglesias, S., Krishnan, A. K. R. R., & Rush, A. J. (2025) · Psychopharmacology Bulletin · doi:10.64719/pb.4224 · Cited by 84 · see citing works
Self-citationDepressed Mood, Cognitive Impairment, and Survival in Older People Admitted to Care Homes in England
Sutcliffe, C., Burns, A. S., Challis, D., Mozley, C. G., Cordingley, L., Bagley, H., & Huxley, P. J. (2007) · American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3180381537 · Cited by 73 · see citing works
Biological and social predictors of long-term geriatric depression outcome
Steffens, D. C., Pieper, C. F., Bosworth, H. B., MacFall, J. R., Provenzale, J. M., Payne, M. E., Carroll, B. J., George, L. K., & Krishnan, K. R. R. (2005) · International Psychogeriatrics · doi:10.1017/s1041610205000979 · Cited by 62 · see citing works
Self-citationFischer, L. R., Wei, F., Rolnick, S. J., Jackson, J., Rush, W. A., Garrard, J. M., Nitz, N., & Luepke, L. (2002) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2002.50063.x · Cited by 56 · see citing works
Pelton, G. H., Harper, O. L., Tabert, M. H., Sackeïm, H. A., Scarmeas, N., Roose, S. P., & Devanand, D. P. (2007) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.1958 · Cited by 54 · see citing works
Frontostriatal and Limbic Dysfunction in Late-Life Depression
Alexopoulos, G. S. (2002) · American Journal of Geriatric Psychiatry · doi:10.1176/appi.ajgp.10.6.687 · Cited by 50 · see citing works
Bogner, H. R., Bruce, M. L., Reynolds, C. F., Mulsant, B. H., Cary, M. S., Morales, K., & Alexopoulos, G. S. (2007) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.1767 · Cited by 48 · see citing works
Event-related potentials in an emotional go/no-go task and remission of geriatric depression
Alexopoulos, G. S., Murphy, C. F., Gunning‐Dixon, F. M., Kalayam, B., Katz, R., Kanellopoulos, D., Etwaroo, G. R., Klimstra, S., & Foxe, J. J. (2007) · Neuroreport · doi:10.1097/wnr.0b013e328013ceda · Cited by 44 · see citing works
Depression-related cognitive impairment: possibilities for its pharmacological treatment
Mitchell, A. J., & Dening, T. R. (1996) · Journal of Affective Disorders · doi:10.1016/0165-0327(95)00070-4 · Cited by 21 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Schneider, 1996, Pharmacologic considerations in the treatment of late-life depression, Am J Geriatric Psychiatry, 4, S51
Cited by
Sorted by citations
Cognitive impairment in depression: a systematic review and meta-analysis
Rock, P. L., Roiser, J. P., Riedel, W. J., & Blackwell, A. D. (2014) · Psychological Medicine · doi:10.1017/s0033291713002535 · Cited by 2,161 · see citing works
The vascular depression hypothesis: mechanisms linking vascular disease with depression
Taylor, W. D., Aizenstein, H. J., & Alexopoulos, G. S. (2013) · Molecular Psychiatry · doi:10.1038/mp.2013.20 · Cited by 923 · see citing works
Hot and cold cognition in depression
Roiser, J. P., & Sahakian, B. J. (2013) · CNS Spectrums · doi:10.1017/s1092852913000072 · Cited by 354 · see citing works
Cognitive remission: a novel objective for the treatment of major depression?
Bortolato, B., Miskowiak, K. W., Köhler, C. A., Maes, M., Fernandes, B. S., Berk, M., & Carvalho, A. F. (2016) · BMC Medicine · doi:10.1186/s12916-016-0560-3 · Cited by 252 · see citing works
Cognitive dysfunction in major depressive disorder: a state-of-the-art clinical review
Bortolato, B., Carvalho, A., & McIntyre, R. (2015) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527313666141130203823 · Cited by 181 · see citing works
McLennan, S. N., & Mathias, J. L. (2010) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2431 · Cited by 95 · see citing works
Morimoto, S. S., Wexler, B. E., Liu, J., Hu, W., Seirup, J., & Alexopoulos, G. S. (2014) · Nature Communications · doi:10.1038/ncomms5579 · Cited by 91 · see citing works
How Late-Life Depression Affects Cognition: Neural Mechanisms
Crocco, E. A., Castro, K., & Loewenstein, D. A. (2010) · Current Psychiatry Reports · doi:10.1007/s11920-009-0081-2 · Cited by 82 · see citing works
Thompson, D. G., Kesler, S. R., Sudheimer, K., Mehta, K. M., Thompson, L. W., Marquett, R. M., Holland, J. M., Reiser, R., Rasgon, N., Schatzberg, A., et al. (2015) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2014.02.001 · Cited by 74 · see citing works
Barch, D. M., D'Angelo, G., Pieper, C., Wilkins, C. H., Welsh-Bohmer, K., Taylor, W., Garcia, K. S., Gersing, K., Doraiswamy, P. M., & Sheline, Y. I. (2012) · The American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e318246b6cb · Cited by 64 · see citing works
Self-citationExecutive Functioning Complaints and Escitalopram Treatment Response in Late-Life Depression
Manning, K. J., Alexopoulos, G. S., Banerjee, S., Morimoto, S. S., Seirup, J. K., Klimstra, S. A., Yuen, G., Kanellopoulos, T., & Gunning-Dixon, F. (2015) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2013.11.005 · Cited by 49 · see citing works
“While the relationship between executive dysfunction and antidepressant response has been investigated across a number of performance-based neuropsychological measures (4-7), to our knowledge there have been no studies examining the relationship of executive functioning complaints to antidepressant response.”
Goodkind, M. S., Gallagher-Thompson, D., Thompson, L. W., Kesler, S. R., Anker, L., Flournoy, J., Berman, M. P., Holland, J. M., & O'Hara, R. M. (2016) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4325 · Cited by 50 · see citing works
Semantic organizational strategy predicts verbal memory and remission rate of geriatric depression
Morimoto, S. S., Gunning, F. M., Kanellopoulos, D., Murphy, C. F., Klimstra, S. A., Kelly, R. E., & Alexopoulos, G. S. (2012) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2743 · Cited by 44 · see citing works
López-Solà, C., Subirà, M., Serra-Blasco, M., Vicent-Gil, M., Navarra-Ventura, G., Aguilar, E., Acebillo, S., Palao, D. J., & Cardoner, N. (2020) · European Psychiatry · doi:10.1192/j.eurpsy.2020.65 · Cited by 31 · see citing works
Resilience predicts remission in antidepressant treatment of geriatric depression
Laird, K. T., Lavretsky, H., St. Cyr, N., & Siddarth, P. (2018) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4953 · Cited by 23 · see citing works
Hoeft, T. J., Hinton, L., Liu, J., & Unützer, J. (2016) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2015.07.003 · Cited by 25 · see citing works
Hutnyan, M., & McClintock, S. M. (2025) · Transcranial Magnetic Stimulation · doi:10.1016/j.transm.2025.100088 · Cited by 2 · see citing works
- Authors
- Story, T. J., Potter, G. G., Attix, D. K., Welsh-Bohmer, K. A., & Steffens, D. C.
- Affiliations
- Duke Medical Center (US)
- Corresponding author
- Story, Tyler J.
- Venue
- The American Journal of Geriatric Psychiatry
- Publisher
- Elsevier BV
- Published
- 2008-09
- Volume
- 16
- Issue
- 9
- Pages
- 752-759
- ISSN
- 1064-7481 (ISSN-L)
- PMC
- PMC2722450
- OpenAlex
- W2150715444
- Semantic Scholar
- 17f4982e2d35cae6f970c374ce8b5844cfc552d6
- Cited by
- 117
- References
- 56
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 4 · 2023: 2 · 2022: 9 · 2021: 7 · 2020: 8 · 2019: 3 · 2018: 7 · 2017: 9 · 2016: 4 · 2015: 14 · 2014: 6 · 2013: 13 · 2012: 8
- FWCI
- 3.52
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Geriatric Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01 MH-54846, K24MH070027, R01MH054846, K24-MH70027, P50MH60451, P50MH060451)
- Topics
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- geriatric depression, antidepressant response, neurocognitive function, verbal memory, processing speed, executive function, episodic memory, older adults, Symbol Digit Modalities Test, prose recall
- MeSH terms
- Aged, Antidepressive Agents, Attention, Brain, Cognition Disorders, Depressive Disorder, Major, Major Depressive Disorder, Female, Follow-Up Studies, Humans, Male, Memory Disorders, Motion Perception, Neuropsychological Tests, Surveys and Questionnaires, Reaction Time, Mental Recall, Visual Perception
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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