ReviewBMJ clinical evidence2015
Heartburn in pregnancy.
Review in BMJ clinical evidence, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 10 citations in OpenAlex.
- Acid-suppressive medication and incidence of chronic childhood immune-mediated diseases: A scoping review.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2023Article
- Association of dietary fiber, liquid intake and lifestyle characteristics with gastrointestinal symptoms and pregnancy outcome.European journal of obstetrics & gynecology and reproductive biology: X · 2022Article
- Evidence-based treatment recommendations for gastroesophageal reflux disease during pregnancy: A review.Medicine · 2022Review
- Antacids revisited: review on contemporary facts and relevance for self-management.The Journal of international medical research · 2022Review
- Critical Care in Obstetrics: Where are We.Journal of obstetrics and gynaecology of India · 2018Review
- The Brazilian version of the Health-Related Quality of Life Questionnaire for Nausea and Vomiting of Pregnancy: translation, cross-cultural adaptation and reliability - an observational cross-sectional study.Sao Paulo medical journal = Revista paulista de medicinaObservational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionHeartburn is a common complaint during pregnancy; the incidence is reported to be between 17% and 45%. METHODS AND OUTCOMES: We conducted a systematic overview and aimed to answer the following clinical question: What are the effects of interventions to prevent or treat heartburn in pregnancy? We searched Medline, Embase, The Cochrane Library, and other important databases up to December 2014 (Clinical Evidence reviews are updated periodically; please check our website for the most up-to-date version of this review).
resultsAt this update, searching of electronic databases retrieved 80 studies. After deduplication and removal of conference abstracts, 59 records were screened for inclusion in the review. Appraisal of titles and abstracts led to the exclusion of 58 studies and the further review of one full publication. The full article evaluated did not meet our reporting criteria, and thus no new evidence was added at this update. We performed a GRADE evaluation for two PICO combinations.
conclusionsIn this systematic overview, we categorised the efficacy for six interventions, based on information about the effectiveness and safety of acid-suppressing drugs, antacids with or without alginates, raising the head of the bed, reducing caffeine intake, reducing intake of fatty foods, and reducing the size and frequency of meals.
Indexed as
Identifiers
26348641PMC4562453W2471472568What 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.