Evidence map›Paper›PMID 29292523›Full record

SynthesisBritish journal of clinical pharmacology2018

Association between antidepressant medication use and epithelial ovarian cancer risk: a systematic review and meta-analysis of observational studies.

Yun-Long Huo, Jia-Ming Qiao, Song Gao

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in British journal of clinical pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 6 pooled it
2.7field-weighted citation impact, top 11% 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

16 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

3 authors at 1 institution in 1 country.

Yun-Long HuoDepartment of Pathology, Shengjing Hospital of China Medical University, Shenyang, China.
Jia-Ming QiaoDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Song GaoDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID 0000-0001-5970-7690
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this paper is to clarify the inconsistent findings in the association between antidepressant use and the risk of epithelial ovarian cancer (EOC).

methodsThis study is a meta-analysis of observational studies retrieved from the PubMed, EMBASE, and Web of Science databases prior to August 15, 2017. Two researchers independently screened studies and extracted study characteristics and risk estimates. The odds ratios (OR) and 95% confidence intervals (CI) of EOC risk were summarized using an inverse variance weighted random-effects model. Heterogeneity between studies was assessed with the I

resultsEight case-control studies involving 7878 EOC cases and 73 913 controls were identified. Compared with non-use, use of antidepressants was not significantly associated with EOC risk (summarized OR = 1.10, 95% CI: 0.91-1.32, I

conclusionsThere is no association between antidepressant use and EOC risk. Further prospective studies are warranted to confirm these findings.

Indexed as

Antidepressive AgentsAntidepressive Agents, TricyclicCarcinoma, Ovarian EpithelialFemaleHumansOvarian NeoplasmsRisk FactorsSelective Serotonin Reuptake InhibitorsAntidepressive AgentsAntidepressive Agents, TricyclicSelective Serotonin Reuptake Inhibitorsantidepressantmeta-analysisobservational studiesovarian cancersystematic review

Identifiers

PMID29292523
PMCPMC5867152
OpenAlexW2782037438

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.