Evidence map›Paper›PMID 27661020›Full record

SynthesisMedicine2016

The effectiveness of complementary manual therapies for pregnancy-related back and pelvic pain: A systematic review with meta-analysis.

Helen Hall, Holger Cramer, Tobias Sundberg, Lesley Ward, Jon Adams, Craig Moore, David Sibbritt, Romy Lauche

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06340126 (Effects of Active Tissue Release Techniques on Groin Pain, Hip Range of Motion, and Functional Disability in 2nd Trimester of Pregnancy), which is not on this map. Cited by 26 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 5 pooled it
4.8field-weighted citation impact, top 5% 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.

NCT06340126 nacompletednot on this mapstarted 2024, after this paper: background citation

Effects of Active Tissue Release Techniques on Groin Pain, Hip Range of Motion, and Functional Disability in 2nd Trimester of Pregnancy

TypeinterventionalSponsorRiphah International UniversityRan2024 to 2024Enrolled30ConditionsGroin StrainArmsActive release techniques, Relaxation exercises
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 5 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Interventions to improve the psychosocial outcomes of individuals with lymphedema: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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

8 authors at 4 institutions in 4 countries.

Helen HallAustralian Research Centre in Complementary and Integrative Medicine (ARCCIM), University of Technology Sydney, Sydney Faculty of Medicine, Nursing and Health Sciences, School of Nursing & Midwifery Monash University, Frankston, Australia Department of Internal and Integrative Medicine, Kliniken Essen-Mitte, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany Department of Neurobiolgy, Care Sciences and Society, Karolinska Institutet The Integrative Care Science Centre, Stockholm, Sweden Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UK.
Holger Cramer
Tobias Sundberg
Lesley Ward
Jon Adams
Craig Moore
David Sibbritt
Romy Lauche
University of Technology Sydney · AUKarolinska Institutet · SEUniversity of Duisburg-Essen · DEUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow back pain and pelvic girth pain are common in pregnancy and women commonly utilize complementary manual therapies such as massage, spinal manipulation, chiropractic, and osteopathy to manage their symptoms.

objectiveThe aim of this systematically review was to critically appraise and synthesize the best available evidence regarding the effectiveness of manual therapies for managing pregnancy-related low back and pelvic pain.

methodsSeven databases were searched from their inception until April 2015 for randomized controlled trials. Studies investigating the effectiveness of massage and chiropractic and osteopathic therapies were included. The study population was pregnant women of any age and at any time during the antenatal period. Study selection, data extraction, and assessment of risk of bias were conducted by 2 reviewers independently, using the Cochrane tool. Separate meta-analyses were conducted to compare manual therapies to different control interventions.

resultsOut of 348 nonduplicate records, 11 articles reporting on 10 studies on a total of 1198 pregnant women were included in this meta-analysis. The therapeutic interventions predominantly involved massage and osteopathic manipulative therapy. Meta-analyses found positive effects for manual therapy on pain intensity when compared to usual care and relaxation but not when compared to sham interventions. Acceptability did not differ between manual therapy and usual care or sham interventions.

conclusionsThere is currently limited evidence to support the use of complementary manual therapies as an option for managing low back and pelvic pain during pregnancy. Considering the lack of effect compared to sham interventions, further high-quality research is needed to determine causal effects, the influence of the therapist on the perceived effectiveness of treatments, and adequate dose-response of complementary manual therapies on low back and pelvic pain outcomes during pregnancy.

Indexed as

AdultBack PainComplementary TherapiesFemaleHumansManipulation, ChiropracticManipulation, OsteopathicManipulation, SpinalMassagePelvic PainPregnancyPregnancy ComplicationsTreatment Outcome

Identifiers

PMID27661020
PMCPMC5044890
OpenAlexW2521048977

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.