Evidence map›Paper›PMID 31408465›Full record

ArticlePloS one2019

Association of pelvic inflammatory disease (PID) with ectopic pregnancy and preterm labor in Taiwan: A nationwide population-based retrospective cohort study.

Chun-Chung Huang, Chien-Chu Huang, Shao-Yi Lin, Cherry Yin-Yi Chang, Wu-Chou Lin, Chi-Hsiang Chung, Fu-Huang Lin, Chang-Huei Tsao, Chun-Min Lo, Wu-Chien Chien

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-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

18 citing papers in PubMed, 55 citations in OpenAlex.

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  17. Systematic Review and Meta-Analysis of Randomized Controlled Trials of Fuke Qianjin Tablet.Evidence-based complementary and alternative medicine : eCAM · 2021
    Article
  18. Review
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

10 authors at 5 institutions in 1 country.

Chun-Chung HuangDepartment of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan.
Chien-Chu HuangDepartment of Obstetrics and Gynecology, China Medical University Hospital, Taichung, Taiwan.
Shao-Yi LinDepartment of Mechanical and Computer-Aided Engineering, National Formosa University, Yunlin, Taiwan.
Cherry Yin-Yi ChangDepartment of Obstetrics and Gynecology, China Medical University Hospital, Taichung, Taiwan.
Wu-Chou LinDepartment of Obstetrics and Gynecology, China Medical University Hospital, Taichung, Taiwan.
Chi-Hsiang ChungSchool of Public Health, National Defense Medical Center, Taipei, Taiwan.
Fu-Huang LinSchool of Public Health, National Defense Medical Center, Taipei, Taiwan.
Chang-Huei TsaoDepartment of Medical Research, Tri-Service General Hospital, Taipei, Taiwan.
Chun-Min LoDepartment of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan.
Wu-Chien ChienDepartment of Medical Research, Tri-Service General Hospital, Taipei, Taiwan.ORCID 0000-0002-3286-0780
National Yang Ming Chiao Tung University · TWChina Medical University · TWNational Defense Medical Center · TWTri-Service General Hospital · TWNational Formosa University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPelvic inflammatory disease (PID) is an infectious disease that causes tubal occlusion and other pelvic and abdominal adhesions. The incidence of pelvic inflammatory disease (PID) has increased due to the sexually active status of the young population. This leads to a more serious problem and a larger effect than previously observed. However, there have been few studies on this topic in Asian populations.

aimWe aimed to evaluate the risk of preterm labor and/or ectopic pregnancy in Taiwanese women following PID.

designUsing the Taiwan National Health Insurance Database, we designed a retrospective cohort study that included 12- to 55-year-old pregnant women between 2000 and 2010. We selected a 1:3 age-matched control group of non-PID women. The endpoint was any episode of preterm labor or ectopic pregnancy; otherwise, the patients were tracked until 31 December 2010.

methodsThe risk factors for preterm labor or ectopic pregnancy were explored. For cases included from the index date until the end of 2010, we analyzed the risk of incident preterm labor or ectopic pregnancy. With the use of a multivariate Cox proportional hazard regression analysis, we calculated the hazard ratio (HR) with a 95% CI and compared it with that of the control group.

resultsThis study examined 30,450 patients with PID and 91,350 controls. During the follow-up period, patients in the PID group were more likely to develop preterm labor or ectopic pregnancy than patients in the control group. The cumulative incidence rates for developing preterm labor were 1.84% (561/30,450 individuals) in patients with PID and 1.63% (1492/91,350 individuals) in patients without PID. On the other hand, the cumulative incidence rate for developing ectopic pregnancy in patients with PID was 0.05% (14/30,450 individuals) but was only 0.04% (33/91,350 individuals) in patients without PID. Compared with those without PID, the patients with PID had a 1.864 times (P<0.001) higher risk of developing preterm labor and a 2.121 times (P = 0.003) higher risk of developing ectopic pregnancy.

conclusionOur study provided evidence of an increased risk of preterm labor or ectopic pregnancy in PID patients.

Indexed as

AdolescentAdultCase-Control StudiesChildFemaleHumansIncidenceMiddle AgedObstetric Labor, PrematurePelvic Inflammatory DiseasePregnancyPregnancy, EctopicRetrospective StudiesRisk FactorsTaiwanYoung Adult

Identifiers

PMID31408465
PMCPMC6692029
OpenAlexW2966976792

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.