SynthesisBMJ open2022
Estimation of sleep problems among pregnant women during COVID-19 pandemic: a systematic review and meta-analysis.
Synthesis in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 11 citations in OpenAlex.
- Sleep Disruption, Psychological Stress, and Preeclampsia in High-Risk Pregnancies During the COVID-19 Era.Life (Basel, Switzerland) · 2026Article
- Safety and efficacy of sequential treatments for postmenopausal osteoporosis: a network meta-analysis of randomised controlled trials.EClinicalMedicine · 2024Article
- COVID-19 and Sleep Disturbances: A Literature Review of Clinical Evidence.Medicina (Kaunas, Lithuania) · 2023Review
- Estimation of Behavioral Addiction Prevalence During COVID-19 Pandemic: A Systematic Review and Meta-analysis.Current addiction reports · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo estimate the sleep problems among pregnant women during the COVID-19 pandemic. ELIGIBILITY CRITERIA: English, peer-reviewed, observational studies published between December 2019 and July 2021 which assessed and reported sleep problem prevalence using a valid and reliable measure were included. INFORMATION SOURCES: Scopus, Medline/PubMed Central, ProQuest, ISI Web of Knowledge and Embase. RISK OF BIAS ASSESSMENT TOOL: The Newcastle-Ottawa Scale checklist. SYNTHESIS OF
resultsPrevalence of sleep problems was synthesised using STATA software V.14 using a random effects model. To assess moderator analysis, meta-regression was carried out. Funnel plot and Egger's test were used to assess publication bias. Meta-trim was used to correct probable publication bias. The jackknife method was used for sensitivity analysis. INCLUDED STUDIES: A total of seven cross-sectional studies with 2808 participants from four countries were included. SYNTHESIS OF
resultsThe pooled estimated prevalence of sleep problems was 56% (95% CI 23% to 88%, I LIMITATIONS OF EVIDENCE: All studies were cross-sectional absence of assessment of sleep problems prior to COVID-19, and the outcomes of the pregnancies among those with and without sleep problems in a consistent manner are among the limitation of the current review.
interpretationPregnant women have experienced significant declines in sleep quality when faced with the COVID-19 pandemic. The short-term and long-term implications of such alterations in sleep on gestational and offspring outcomes are unclear and warrant further studies. PROSPERO REGISTRATION NUMBER: CRD42020181644.
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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.