Evidence map›Paper›PMID 32643040›Full record

SynthesisArchives of gynecology and obstetrics2020

Effect of Chlamydia trachomatis on adverse pregnancy outcomes: a meta-analysis.

Weihua He, Yue Jin, Haibin Zhu, Yan Zheng, Jianhua Qian

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Archives of gynecology and obstetrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
–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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Anti-International journal of molecular sciences · 2026
    Review
  6. Article
  7. Prevalence ofInternational journal of women's health · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Evaluation of the APTIMA Combo 2™ kit for the detection of Chlamydia trachomatis and Neisseria gonorrhoeae in frozen semen.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  14. Predicting Low Birth Weight in Big Cities in the United States Using a Machine Learning Approach.International journal of environmental research and public health · 2025
    Article
  15. Article
  16. Article
  17. Prevalence and Genetic Characterization ofThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
  18. Identifying the Impact ofPathogens (Basel, Switzerland) · 2024
    Article
  19. Article
  20. 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

5 authors.

Weihua HeDepartment of Gynecology, The First Affiliated Hospital, College of Medicine, Zhejiang University, No.79 Qingchun Road, Hangzhou, 310003, People's Republic of China.
Yue JinDepartment of Gynecology, The First Affiliated Hospital, College of Medicine, Zhejiang University, No.79 Qingchun Road, Hangzhou, 310003, People's Republic of China.
Haibin ZhuDepartment of Gynecology, The First Affiliated Hospital, College of Medicine, Zhejiang University, No.79 Qingchun Road, Hangzhou, 310003, People's Republic of China.
Yan ZhengDepartment of Gynecology, The First Affiliated Hospital, College of Medicine, Zhejiang University, No.79 Qingchun Road, Hangzhou, 310003, People's Republic of China.
Jianhua QianDepartment of Gynecology, The First Affiliated Hospital, College of Medicine, Zhejiang University, No.79 Qingchun Road, Hangzhou, 310003, People's Republic of China. qianjianhuadoctor@163.com.ORCID http://orcid.org/0000-0003-3895-0127

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo analyze the effect of Chlamydia trachomatis (C. trachomatis) on adverse pregnancy outcomes based on the currently available evidence.

methodsMultiple databases were comprehensively searched from the available date of inception through December 9, 2019. The effect of C. trachomatis on adverse pregnancy outcomes was assessed using pooled odds rations (ORs) and 95% confidence intervals (CIs). Egger's test was used for publication bias.

resultsFifty studies involving 502,141 participants were identified. C. trachomatis infection was found to be associated with preterm birth in antibody detection [OR (95% CI): 1.571 (1.112-2.220), P = 0.010] and high-quality assessment [OR (95% CI): 1.734 (1.295-2.321), P < 0.001], preterm premature rupture of membranes (PPROM) in culture detection [OR (95% CI): 4.339 (1.806-10.424), P = 0.001] and high-quality assessment [OR (95% CI): 2.822 (1.333-5.973), P = 0.007], stillbirth [OR (95% CI): 1.585 (1.219-2.062), P = 0.001], low-birthweight babies [OR (95% CI): 2.205 (1.137-4.274), P = 0.019], and babies small for gestational age [OR (95% CI): 1.193 (1.091-1.305), P < 0.001]. No publication bias was exhibited in miscarriage (P = 0.170), preterm birth (P = 0.303), PPROM (P = 0.341), stillbirth (P = 0.533), and low-birthweight babies (P = 0.535).

conclusionsC. trachomatis infection during pregnancy is associated with a higher risk of preterm birth, PPROM, stillbirth, low-birthweight babies, and babies small for gestational age.

Indexed as

Abortion, SpontaneousChlamydia InfectionsChlamydia trachomatisFemaleHumansInfant, Low Birth WeightInfant, NewbornInfant, Small for Gestational AgeObstetric Labor, PrematurePregnancyPregnancy Complications, InfectiousPregnancy OutcomePremature BirthPremature Rupture of Fetal MembranesStillbirthAdverse outcomesChlamydia trachomatisMeta-analysisPregnancy

Identifiers

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.