Evidence map›Paper›PMID 27580492›Full record

ArticleJournal of clinical psychopharmacology2016

Antidepressant Medication Treatment and Risk of Death.

Kara Zivin, H Myra Kim, Matheos Yosef, Donovan T Maust, Marcia Valenstein, Eric G Smith, Dimitry S Davydow

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical psychopharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 13% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. All-cause mortality with current and past use of antidepressants or benzodiazepines after major osteoporotic and hip fracture.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2019
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Kara ZivinFrom the *Department of Veterans Affairs, Center for Clinical Management Research; †Department of Psychiatry, University of Michigan Medical School; ‡Department of Health Management and Policy, University of Michigan School of Public Health; §Institute for Social Research and ‖Center for Statistical Consultation and Research, University of Michigan; and ¶Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI; #VA Center for Healthcare Organization and Implementation Research, Department of Veterans Affairs, VA Medical Center, Bedford; and **Departments of Psychiatry and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA; and ††Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
H Myra Kim
Matheos Yosef
Donovan T Maust
Marcia Valenstein
Eric G Smith
Dimitry S Davydow
University of Michigan–Ann Arbor · USUniversity of Massachusetts Chan Medical School · USUniversity of Washington · US

Funding

Preventable Hospitalization in Dementia: The Impact of Neuropsychiatric SymptomsK08AG048321 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MAUST, DONOVAN T · 2014 to 2017
$700k
Risk of death among veterans with depressionI01HX000475 · VA · VETERANS HEALTH ADMINISTRATION · PI ZIVIN, KARA · 2013 to 2013
–
HSRD VA CDA 09-216HSRD VA I01 HX000475NIA NIH HHS K08 AG048321
6 · The paper itself

Abstract

objectiveAlthough previous studies have assessed whether depression is a mortality risk factor, few have examined whether antidepressant medications (ADMs) influence mortality risk.

methodsWe estimated hazards of 1-year all-cause mortality associated with ADMs, with use occurring within 90 days of depression diagnosis among 720 821 patients who received treatment in a Veterans Health Administration facility during fiscal year 2006. We addressed treatment selection biases using conventional Cox regression, propensity-stratified Cox regression (propensity score), and 2 forms of marginal structural models. Models accounted for multiple potential clinical and demographic confounders, and sensitivity analyses compared findings by antidepressant class.

resultsAntidepressant medication use compared with no use was associated with significantly lower hazards of 1-year mortality risk in Cox (hazard ratio [HR], 0.93; 95% confidence interval [CI], 0.90-0.97) and propensity score estimates (HR, 0.94; 95% CI, 0.91-0.98), whereas marginal structural model-based estimates showed no difference in mortality risk when the exposure was specified as "as-treated" in every 90-day intervals of the 1-year follow-up (HR, 0.91; 95% CI, 0.66-1.26) but showed increased risk when specified as "intent-to-treat" (HR, 1.07; 95% CI, 1.02-1.13).

conclusionsAmong patients treated with ADMs belonging to a single class in the first 90 days, there were no significant differences in 1-year all-cause mortality risks. When accounting for clinical and demographic characteristics and treatment selection bias, ADM use was associated with no excess harm.

Indexed as

MortalityAdolescentAdultAgedAged, 80 and overAntidepressive AgentsDepressive DisorderFemaleFollow-Up StudiesHumansMaleMiddle AgedRiskUnited StatesUnited States Department of Veterans AffairsYoung AdultAntidepressive Agents

Identifiers

PMID27580492
PMCPMC5010024
OpenAlexW2487042986

What OpenQuestion holds

Textmetadata
LicenceTDM
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.