In one paragraphArticle in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01179568 (Optimizing Treatment for Complicated Grief), which is not on this map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Optimizing Treatment for Complicated Grief (Healing Emotions After Loss:HEAL)
TypeinterventionalSponsorNew York State Psychiatric InstituteRan2010 to 2015Enrolled395ConditionsComplicated Grief, BereavementArmsCitalopram, Complicated Grief Treatment, Placebo
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
8 authors.
Adam CalderonDepartment of Psychiatry, New York University Grossman School of Medicine, New York, New York.ORCID 0000-0002-3968-0715 Matthew IrwinDepartment of Psychiatry, New York University Grossman School of Medicine, New York, New York.
Naomi M SimonDepartment of Psychiatry, New York University Grossman School of Medicine, New York, New York.ORCID 0000-0002-8867-889X M Katherine ShearColumbia School of Social Work, Columbia University College of Physicians and Surgeons, New York, New York.ORCID 0000-0001-6163-1816 Christine MauroDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York.ORCID 0000-0001-6065-8128 Charles F ReynoldsDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0002-2605-7887 Matteo MalgaroliDepartment of Psychiatry, New York University Grossman School of Medicine, New York, New York.ORCID 0000-0003-4209-6939 Funding
UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9MUniversity of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8MRESEARCH TRAINING COREP60MD000207 · NIMHD · UNIV OF MARYLAND, COLLEGE PARK · PI THOMAS, STEPHEN B. · 2002 to 2011
$10.8MRESEARCH METHODS COREP30MH090333 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DEW, MARY AMANDA · 2011 to 2015
$8.3MTRAUMATIC GRIEF TREATMENT--A RANDOMIZED CONTROLLED STUDYR01MH060783 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUAN, NAIHUA, SHEAR, M KATHERINE · 2000 to 2016
$4.0M2/4-Optimizing Treatment of Complicated GriefR01MH085308 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SIMON, NAOMI M · 2009 to 2013
$2.0M3/4-Optimizing Complicated Grief TherapyR01MH085288 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REYNOLDS, CHARLES F. · 2009 to 2013
$1.7M4/4-Optimizing Treatment of Complicated GriefR01MH085297 · NIMH · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI ZISOOK, SIDNEY · 2009 to 2013
$1.6MDeep Learning Based Natural Language Processing Markers of Anxiety and DepressionK23MH134068 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Matteo Malgaroli · 2023 to 2026
$982kNCATS NIH HHS UL1 TR000005NCRR NIH HHS UL1 RR024153NIMHD NIH HHS P60 MD000207NIMH NIH HHS K23 MH134068NIMH NIH HHS P30 MH090333NIMH NIH HHS R01 MH060783NIMH NIH HHS R01 MH085288NIMH NIH HHS R01 MH085297NIMH NIH HHS R01 MH085308
6 · The paper itselfAbstract
Although evidence-based treatments for Prolonged Grief Disorder (PGD) exist, pretreatment characteristics associated with differential improvement trajectories have not been identified. To identify clinical factors relevant to optimizing PGD treatment outcomes, we used unsupervised and supervised machine learning to study treatment effects from a double-blinded, placebo-controlled, randomized clinical trial. Participants were randomized into four treatment groups for 20 weeks: citalopram with grief-informed clinical management, citalopram with prolonged grief disorder therapy (PGDT), pill placebo with PGDT, or pill placebo with clinical management. The trial included 333 PGD patients aged 18-95 years ( Trial Registration: clinicaltrials.gov Identifier: NCT01179568.
Indexed as
citalopramGriefmachine learningtherapytrajectories
Identifiers
PMID39711702
PMCPMC11661326
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