The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Introducing Network Intervention Analysis to Investigate Sequential, Symptom-Specific Treatment Effects: A Demonstration in Co-Occurring Insomnia and Depression
Open accessAbstract
Gemcitabine-based salvage therapy is considered an effective treatment for relapsed and refractory Non-Hodgkin's lymphoma (NHL). We analyzed the outcome of 41 consecutive NHL patients treated with gemcitabine-based regimens between January 2007 and October 2015. Twenty-eight males and 13 females (median age 66.4 years) were included. The median follow-up from gemcitabine initiation was 7.3 months. Thirty patients (73%) had B-cell, and eleven (27%) had T-cell, lymphoma. All patients received a median of 2 prior regimens, of which at least 1 was anthracycline based. Twenty-eight patients (78%) received full-dose while 9 (22%) received reduced-dose regimens. The overall response rate was 37%, with 24% (n = 10) complete response, 12% (n = 5) partial response, and 63% (n = 22) progressive disease or stable disease. The median progression-free survival (PFS) was 47 days (range 12-1,318), the median overall survival (OS) was 1.9 years. Twenty patients (49%) died during follow-up. Grade 3-4 hematological toxicity was reported in 21 patients (51%). Relapsed vs. refractory disease, as well as a response to gemcitabine, predicted better PFS and OS. Use of a full-dose regimen predicted a better OS. Compared to previously published data, we observed less favorable outcomes. The administration of gemcitabine-based therapy as a salvage regimen for patients with relapsed or refractory NHL had limited success. Innovative therapies for these patients are an unmet need.
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“network intervention analysis, an approach proposed by Blanken et al. (2019), extends symptom network models to examine treatment-induced changes in symptoms and their association over time.”
From Measuring the active elements of cognitive-behavioral therapies (2023) · cites this paper as Blanken et al., 2019
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Cites
A network theory of mental disorders
Borsboom, D. (2017) · World Psychiatry · doi:10.1002/wps.20375 · Cited by 3,482
Self-citationA tutorial on regularized partial correlation networks
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Epidemiology of Insomnia, Depression, and Anxiety
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“The edges visualize the unique associations between variables, controlling for their associations with all the other vari-Dear Editor, Insomnia and depression are among the most prevalent mental disorders and often co-occur [1].”
Fried, E. I., van Borkulo, C. D., Epskamp, S., Schoevers, R. A., Tuerlinckx, F., & Borsboom, D. (2016) · Psychological Assessment · doi:10.1037/pas0000275 · Cited by 314
Self-citationEveningness and Insomnia: Independent Risk Factors of Nonremission in Major Depressive Disorder
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“In people with depression, insomnia impedes remission [3, 4], while cognitive-behavioral therapy for insomnia (CBTI) accelerates it [5, 6].”
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Borsboom, D., Deserno, M. K., Rhemtulla, M., Epskamp, S., Fried, E. I., McNally, R. J., Robinaugh, D. J., Perugini, M., Dalege, J., Costantini, G., et al. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00055-w · Cited by 1,371
Self-citationRobinaugh, D. J., Hoekstra, R. H. A., Toner, E. R., & Borsboom, D. (2020) · Psychological Medicine · doi:10.1017/s0033291719003404 · Cited by 861
Self-citationBrain mechanisms of insomnia: new perspectives on causes and consequences
Someren, E. J. W. V. (2020) · Physiological Reviews · doi:10.1152/physrev.00046.2019 · Cited by 578
Insomnia disorder: State of the science and challenges for the future
Riemann, D. W., Benz, F., Dressle, R. J., Espie, C. A., Johann, A. F., Blanken, T. F., Leerssen, J., Wassing, R., Henry, A. L., Kyle, S. D., et al. (2022) · Journal of Sleep Research · doi:10.1111/jsr.13604 · Cited by 398
Self-citationLack of theory building and testing impedes progress in the factor and network literature
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Metadata
- Authors
- Blanken, T. F., Van Der Zweerde, T., Van Straten, A., Van Someren, E. J. W., Borsboom, D., & Lancee, J.
- Affiliations
- Netherlands Institute for Neuroscience (NL)
- University of Amsterdam (NL)
- Venue
- Psychotherapy and Psychosomatics
- Publisher
- S. Karger AG
- Published
- 2019
- Volume
- 88
- Issue
- 1
- Pages
- 52-54
- ISSN
- 0033-3190 (ISSN-L)
- 1423-0348
- PMC
- PMC6469840
- OpenAlex
- W2910954829
- Cited by
- 187
- References
- 10
- Citations by year
- 2026: 23 · 2025: 33 · 2024: 29 · 2023: 18 · 2022: 16 · 2021: 31 · 2020: 20 · 2019: 17
- FWCI
- 24.76
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Psychotherapy and Psychosomatics (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, cc-by)
- KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences) (publishedVersion, other-oa)
- VU Research Portal (publishedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- UvA-DARE (University of Amsterdam) (submittedVersion, cc-by-nc-nd)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion, other-oa)
- Funders
- Vrije Universiteit Amsterdam
- H2020 European Research Council (671084)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Keywords
- insomnia, depression, progression-free survival, overall survival, hematologic toxicity
- MeSH terms
- Adult, Data Interpretation, Statistical, Depressive Disorder, Humans, Sleep Initiation and Maintenance Disorders, Severity of Illness Index, Cognitive Behavioral Therapy, Randomized Controlled Trials as Topic, Outcome Assessment, Health Care
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