Evidence map›Paper›PMID 21457681›Full record

ArticleThe Journal of clinical psychiatry2011

Pregnancy as a major determinant for discontinuation of antidepressants: an analysis of data from The Health Improvement Network.

Irene Petersen, Ruth E Gilbert, Stephen J W Evans, Shuk-Li Man, Irwin Nazareth

Abstract read
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In one paragraph

Article in The Journal of clinical psychiatry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 7 pooled it
15.7field-weighted citation impact, top 1% 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

88 citing papers in PubMed, 7 syntheses or guidelines pooled it, 197 citations in OpenAlex.

  1. Pooled it
  2. Factors Associated with the Acceptability of Mass Drug Administration for Filariasis: A Systematic Review.International journal of environmental research and public health · 2022
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  15. Patterns of antidepressant prescribing around pregnancy: a descriptive analysis using Clinical Practice Research Datalink GOLD.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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  19. Making decisions about antidepressant use during pregnancy: a qualitative interview study of a sample of women in the UK.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
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28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Irene PetersenDepartment of Primary Care & Population Health, University College London, Rowland Hill St, London NW3 2PF, UK. i.petersen@ucl.ac.uk
Ruth E Gilbert
Stephen J W Evans
Shuk-Li Man
Irwin Nazareth
University College London · GB

Funding

Department of Health G0601726Medical Research Council G0400546Medical Research Council G0601726Medical Research Council MC_U122797163
6 · The paper itself

Abstract

backgroundPotential adverse effects of antidepressants during pregnancy have caused concern about their use. There are, however, very limited detailed data on patterns of antidepressant prescribing in pregnancy.

objectiveTo examine secular trends in prescribing during pregnancy, to assess whether pregnancy is a major determinant for stopping antidepressants, and to identify characteristics of those who stopped antidepressants during pregnancy.

methodIn this cohort study, we obtained data on 114,999 pregnant women (median age at delivery, 30.5 years [interquartile range, 26-34 years]) who had a live birth between 1992 and 2006 and 22,677 nonpregnant women from The Health Improvement Network primary care database, one of the largest sources of continuous anonymized primary care data in the United Kingdom and broadly representative of UK general practice. This database includes information on age, sex, medical diagnosis and symptoms, health promotion activities, referrals to secondary care, and prescriptions for each registered individual. The database also holds information about social deprivation as measured using quintiles of the Townsend score. We used Cox regression analysis to compare time to last prescription in pregnant versus nonpregnant women and to identify characteristics of those women who stopped antidepressants during pregnancy.

resultsAntidepressant prescribing in pregnancy increased nearly 4-fold from 1992 to 2006 (relative risk = 3.87; 95% CI, 1.73-8.66; P < .001). Since 2001, approximately 3% of the cohort received antidepressants at some stage during pregnancy. Selective serotonin reuptake inhibitors accounted for approximately 80% of the prescribed antidepressants. Antidepressants were more likely to be stopped in pregnant than in nonpregnant women, in particular during the first 6 weeks of pregnancy (hazard ratio = 5.19; 95% CI, 4.85-5.56; P < .001). Only 10% of women treated before pregnancy still received antidepressants at the start of the third trimester. In contrast, 35% of nonpregnant women were still treated after a similar time period.

conclusionsAlthough antidepressant prescribing in pregnancy increased nearly 4-fold from 1992 to 2006, pregnancy was a major determinant of cessation of antidepressant medication, and most women did not receive further antidepressant prescriptions beyond 6 weeks of gestation. This finding may be explained by concerns about potential adverse effects of the medications, even though these concerns need to be balanced against the potential harm of inadequate treatment of depression during pregnancy.

Indexed as

AdolescentAdultAge FactorsAntidepressive AgentsCohort StudiesDrug-Related Side Effects and Adverse ReactionsDrug UtilizationFemaleGeneral PracticeGestational AgeHumansInfant, NewbornMajor Depressive DisorderMedication AdherencePractice Patterns, Physicians'PregnancyAntidepressive AgentsSelective Serotonin Reuptake Inhibitors

Identifiers

PMID21457681
OpenAlexW2004855735

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.