ReviewEvidence-based complementary and alternative medicine : eCAM2018
Acupuncture Treatment for Chronic Pelvic Pain in Women: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.
Review in Evidence-based complementary and alternative medicine : eCAM, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Acupuncture for the Relief of Chronic Pain: A Synthesis of Systematic Reviews.Medicina (Kaunas, Lithuania) · 2019Pooled it
- Effect of neurogenic acupoint cupping on high sensitive C-reactive protein and pain perception in female chronic pelvic pain: A randomized controlled trial.Journal of musculoskeletal & neuronal interactions · 2021Trial
- Electroacupuncture for Refractory Chronic Pelvic Pain: A Case Report with 24-Month Follow-Up.International journal of women's health · 2025Article
- Evaluation and Medical Management of Chronic Pelvic Pain.Seminars in interventional radiology · 2023Review
- Review
- Complementary and Alternative (CAM) Treatment Options for Women with Pelvic pain.Current physical medicine and rehabilitation reports · 2020Article
- Underestimated Cervical Extradural Hematoma Secondary to the Small Needle-Scalpel for the Treatment of Cervical Spondylosis: A Rare but Avoidable Complication.Frontiers in neurology · 2019Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aim of the studyThis systematic review and meta-analysis aims to evaluate the current evidence from randomized controlled trials (RCTs) related to the effectiveness and safety of acupuncture treatment (AT), including electroacupuncture or thread-embedding therapy in combination with modern technology, for chronic pelvic pain (CPP) in women. MATERIALS AND
methodsWe searched 12 electronic databases up to December 2017. All randomized controlled trials evaluating the effect of AT for CPP were considered.
resultsFour RCTs with 474 participants were included. The methodological quality of included studies was generally low. The results of meta-analysis of two studies showed that AT combined with conventional treatment (CT) was associated with significantly reduced CPP, based on the total effectiveness rate (n=277, mean difference = 1.29, confidence interval = 1.13 to 1.47, P=0.0001, I
conclusionsThis review suggests the potential of AT combined with CT compared to CT alone for treating female CPP. However, there is insufficient evidence to conclude that AT can be recommended as a complementary and alternative (CAM) treatment for women with CPP. To draw a firm conclusion, future studies should require not only lager, more rigorously designed RCTs but also research on different AT types. PROTOCOL REGISTRATION NUMBER: This study is registered with PROSPERO 2018 (CRD42018088627).
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.