ArticleBMJ open2021
Community-based non-pharmacological interventions for improving pain, disability and quality of life in pregnant women with musculoskeletal conditions: protocol for a systematic review with meta-analyses.
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 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
1 citing paper in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Community-based non-pharmacological interventions for pregnant women with gestational diabetes mellitus: a systematic review.BMC women's health · 2022Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTwenty five per cent of pregnant women with musculoskeletal pain have disabling symptoms that negatively influence quality of life. Studies have reported varying effects of non-pharmacological interventions including exercise, manipulation and pelvic belts for pregnant women with musculoskeletal problems. The overall effectiveness and acceptability of these interventions is uncertain due to lack of synthesised evidence. This protocol is for the first systematic review of community-based non-pharmacological interventions for improving pain, disability and quality of life in pregnant women with musculoskeletal conditions from studies published until August 2020. METHODS AND ANALYSIS: A detailed search of PubMed, CINAHL, CENTRAL, Global Index Medicus, African Index Medicus, African Journal Online, Western Pacific Region Index Medicus, Latin American and Caribbean Centre on Health Science Information, Index Medicus for South-East Asia Region, IRIS (WHO digital publications), British Library for Development Studies and Google Scholar. Additional studies will be located from the reference list of identified studies and relevant systematic reviews. The databases will be searched from inception to August 2020. Appraisal of study quality will be performed with the Mixed Methods Appraisal Tool. Data will be synthesised using a mixed-studies synthesis design-the convergent synthesis. The description of interventions in all study designs will be summarised narratively. Meta-analyses will be used to statistically summarise the effectiveness of interventions in randomised controlled trials and the factors that influence these. Other quantitative studies will be summarised narratively to answer the objectives. Thematic synthesis will be used to summarise results of qualitative studies. The outcomes of interest include pain, disability and quality of life. This paper is reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols 2015 guidelines. ETHICS AND DISSEMINATION: Ethical clearance is not required. Findings will be presented at conferences and published in peer-reviewed journals. PROSPERO REGISTRATION NUMBER: CRD42020189535.
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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.