Evidence mapPaperPMID 42559009Full record

SynthesisFrontiers in medicine2026

Digital technology-assisted labor support in delivery rooms on maternal pain and anxiety: a systematic review and meta-analysis.

Shuijuan Zou, Ying Wang, Yinmei Fu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
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

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Shuijuan ZouShaoxing Second Hospital Medical Alliance General Hospital, Shaoxing, Zhejiang, China.
Ying WangShaoxing Second Hospital Medical Alliance General Hospital, Shaoxing, Zhejiang, China.
Yinmei FuShaoxing Second Hospital Medical Alliance General Hospital, Shaoxing, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Labor pain and anxiety are important factors affecting maternal childbirth experience. Digital technology-assisted labor support, such as virtual reality (VR) analgesia and artificial intelligence (AI)-assisted fetal heart rate monitoring interpretation, has gained increasing attention as non-pharmacological interventions in recent years, but quantitative synthesis of randomized controlled trial evidence remains limited. We aimed to systematically evaluate the effects of digital technology-assisted labor support in delivery rooms on maternal pain and anxiety. Methods: PubMed, Embase, the Cochrane Central Register of Controlled Trials, Web of Science were systematically searched from inception to March 2026. Randomized controlled trials (RCTs) comparing digital technology-assisted labor support (VR or AI-assisted systems) with routine care on maternal outcomes were included. Two reviewers independently performed study selection, data extraction, and quality assessment using the Cochrane ROB2.0 tool. Meta-analysis was conducted using RevMan 5.4 software, calculating standardized mean differences (SMD) with 95% confidence intervals (CI). Results: Six RCTs involving 492 parturients were included. Meta-analysis of four studies (362 parturients) showed that digital technology-assisted labor support significantly reduced maternal pain intensity (SMD = -1.49, 95% CI: -2.55 to -0.42, Conclusion: Current evidence suggests that digital technology-assisted labor support in delivery rooms, particularly immersive virtual reality interventions, can significantly reduce maternal pain intensity and anxiety levels. Due to the limited number of included studies and high heterogeneity, these findings should be interpreted with caution, and more high-quality, large-sample RCTs are needed for further validation. Systematic review registration: Systematic Reviews (PROSPERO) (Registration number: CRD420261336637).

Indexed as

anxietyartificial intelligencelabor painmeta-analysisrandomized controlled trialsystematic reviewvirtual reality

Identifiers

PMID42559009
PMCPMC13438421

What Socratic holds

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Registered trials

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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 Socratic graph.