ArticleJournal of general and family medicine2022
Diagnostic accuracy of pelvic examination in pelvic inflammatory disease: A meta-analysis.
Article in Journal of general and family medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- [Clinical Efficacy of Acupuncture Combined With Acupoint Patching in Treating Chronic Pelvic Pain as a Sequela of Pelvic Inflammatory Disease].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Trial
- Cervical Tenderness (Parametropathy) is a Diagnostic Tool for the Chronic Pelvic Pain Syndrome.Pain and therapy · 2025Article
- Diagnostic accuracy of pelvic examination in pelvic inflammatory disease: A meta-analysis.Journal of general and family medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Pelvic inflammatory disease (PID) is not a mere transient infection. PID can lead to chronic pain, ectopic pregnancy, and infertility. Although the Centers for Disease Control and Prevention have established minimum diagnostic criteria, including pelvic examination, the diagnostic value of pelvic tenderness has recently garnered controversy. Our meta-analysis aimed to confirm whether pelvic tenderness, cervical motion tenderness, and adnexal tenderness can help diagnose PID. Methods: We searched for studies reporting the diagnostic test accuracy of pelvic tenderness, cervical motion tenderness, and adnexal tenderness among female patients at risk for PID, using MEDLINE, EMBASE, CENTRAL, CINAHL, Google, and Google Scholar through May 25th, 2022. After quality assessment using QUADAS-2, we performed data synthesis using a bivariate random effect model and Bayesian hierarchical summary receiver operating characteristic model. We then conducted sensitivity analysis excluding studies with non-PID cases. Results: The literature search produced 6769 articles. After quality assessment, 14 studies and their 2808 participants were eligible for synthesis on pelvic tenderness. Laparoscopy, either alone or in combination, was the most frequent reference standard. The main results for pelvic tenderness sensitivity and specificity were 0.81, 95% confidence interval (CI) [0.67-0.90] and 0.40, 95% CI [0.25-0.57], respectively. Sensitivity and specificity were 0.72, 95% CI [0.57-0.83] and 0.50, 95% CI [0.34-0.66], for cervical motion tenderness, and 0.87 [0.64-0.96] and 0.27, 95% CI [0.12-0.52] for adnexal tenderness, respectively. Conclusions: Our meta-analysis suggests that pelvic tenderness assessed by pelvic examination may be useful for PID examination with moderate-to-high sensitivity, whereas clinicians should be aware of the diagnostic significance of pelvic tenderness.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.