Evidence map›Paper›PMID 41053438›Full record

ArticleMolecular psychiatry2025

Correction: Developing an individualized treatment rule for Veterans with major depressive disorder using electronic health records.

Nur Hani Zainal, Robert M Bossarte, Sarah M Gildea, Irving Hwang, Chris J Kennedy, Howard Liu, Lucinda B Leung, Alex Luedtke, Brian P Marx, Maria V Petukhova and 7 more

Abstract readPublished Erratum
PubMed Publisher
In one paragraph

Article in Molecular psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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 it

What 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 registry

The 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Nur Hani ZainalDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Robert M BossarteDepartment of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa, FL, USA.
Sarah M GildeaDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Irving HwangDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Chris J KennedyDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7444-2766
Howard LiuDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Lucinda B LeungCenter for the Study of Healthcare Innovation, Implementation, & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Alex LuedtkeDepartment of Statistics, University of Washington, Seattle, WA, USA.
Brian P MarxNational Center for PTSD, VA Boston Healthcare System, Boston, MA, USA.
Maria V PetukhovaDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Edward P PostCenter for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, MI, USA.
Eric L RossDepartment of Psychiatry, Larner College of Medicine, University of Vermont, Burlington, VT, USA.
Nancy A SampsonDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Erik SverdrupGraduate School of Business, Stanford University, Stanford, CA, USA.
Brett TurnerHarvard T.H. Chan School of Public Health, Boston, MA, USA.
Stefan WagerGraduate School of Business, Stanford University, Stanford, CA, USA.
Ronald C KesslerDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA. kessler@hcp.med.harvard.edu.ORCID http://orcid.org/0000-0003-4831-2305

Funding

Leveraging EHR data to evaluate key treatment decisions to prevent suicide-related behaviorsR01MH121478 · NIMH · HARVARD MEDICAL SCHOOL · PI KESSLER, RONALD C · 2020 to 2023
$3.1M
HSRD VA IK2 HX002867NIMH NIH HHS R01 MH121478
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID41053438

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.