Evidence map›Paper›PMID 34864772›Full record

Observational studyJournal of clinical psychopharmacology

Risk of Breast Cancer With Prolactin Elevating Antipsychotic Drugs: An Observational Study of US Women (Ages 18-64 Years).

Tahir Rahman, John M Sahrmann, Margaret A Olsen, Katelin B Nickel, J Phillip Miller, Cynthia Ma, Richard A Grucza

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of clinical psychopharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 6 pooled it
3.6field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 6 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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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 4 institutions in 2 countries.

Tahir RahmanFrom the Washington University School of Medicine.
John M SahrmannDivision of Infectious Diseases, Department of Medicine.
Margaret A OlsenDivisions of Infectious Diseases and Public Health Sciences, Departments of Medicine and Surgery.
Katelin B NickelDivision of Infectious Diseases, Department of Medicine.
J Phillip MillerDivision of Biostatistics.
Cynthia MaDepartment of Medicine/Siteman Cancer Center, Washington University in St Louis, School of Medicine.
Richard A GruczaDepartment of Family and Community Medicine and Department of Health Outcomes Research, St Louis University School of Medicine, St Louis, MO.
Office of Infectious Diseases · USCancer Research And Biostatistics · USFaculty of Public Health · GBWashington University in St. Louis · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
WASHINGTON UNIVERSITY COMPARATIVE EFFECTIVENESS ADMINISTRATIVE DATA REPOSITORYR24HS019455 · AHRQ · WASHINGTON UNIVERSITY · PI FRASER, VICTORIA J. · 2010 to 2010
$969k
AHRQ HHS R24 HS019455NCATS NIH HHS UL1 TR002345NCI NIH HHS P30 CA091842
6 · The paper itself

Abstract

PURPOSE/

backgroundAntipsychotic drugs are well established to alter circulating prolactin levels by blocking dopamine D2 receptors in the pituitary. Prolactin activates many genes important in the development of breast cancer. Prior studies have found an association with antipsychotic use and risk of breast cancer. METHODS/PROCEDURES: The IBM MarketScan Commercial and Medicaid Databases were used to establish a large, observational cohort of women taking antipsychotics drugs compared with anticonvulsants or lithium. A new user design was used that required 12 months of insurance enrollment before the first antipsychotic or anticonvulsant/lithium prescription. Invasive breast cancer was identified using diagnostic codes. Multivariable Cox proportional hazards models were used to evaluate the risk of breast cancer with antipsychotic drug exposure controlling for age and other risk factors. FINDINGS/

resultsA total of 914 cases (0.16%) of invasive breast cancer were identified among 540,737 women. Exposure to all antipsychotics was independently associated with a 35% increased risk of breast cancer (aHR [adjusted hazard ratio], 1.35; 95% confidence interval, 1.14-1.61). Category 1 drugs (high prolactin) were associated with a 62% increased risk (aHR, 1.62; 95% CI, 1.30-2.03), category 2 drugs a 54% increased risk (aHR, 1.54; 95% CI, 1.19-1.99), and category 3 drugs were not associated with breast cancer risk. IMPLICATIONS/

conclusionsIn the largest study of antipsychotics taken by US women, a higher risk between antipsychotic drug use and increased risk for breast cancer was observed, with a differential higher association with antipsychotic categories that elevate prolactin. Our study confirms other recent observational studies of increased breast cancer risk with antipsychotics that elevate prolactin.

Indexed as

AdolescentAdultAnticonvulsantsAntimanic AgentsAntipsychotic AgentsBreast NeoplasmsCohort StudiesFemaleHumansLithium CompoundsMental DisordersMiddle AgedProlactinProportional Hazards ModelsRiskUnited StatesAnticonvulsantsAntimanic AgentsAntipsychotic AgentsLithium CompoundsProlactin

Identifiers

PMID34864772
PMCPMC8688205
OpenAlexW4200354862

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.