Evidence map›Paper›PMID 42422250›Full record

SynthesisFrontiers in pediatrics2025

Efficacy and safety of phototherapy for jaundice in full-term newborns: a meta-analysis.

Xingzhen Feng, Zijun Liang, Huishi Ye, Shubin Xie

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pediatrics, 2025. 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

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.

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

4 authors.

Xingzhen FengDepartment of Paediatrics, Dongguan Hospital of Traditional Chinese Medicine, Dongguan, Guangdong, China.
Zijun LiangDepartment of Paediatrics, Dongguan Hospital of Traditional Chinese Medicine, Dongguan, Guangdong, China.
Huishi YeDepartment of Paediatrics, Dongguan Hospital of Traditional Chinese Medicine, Dongguan, Guangdong, China.
Shubin XieDepartment of Paediatrics, Dongguan Hospital of Traditional Chinese Medicine, Dongguan, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The efficacy and safety of phototherapy in the treatment of full-term neonatal jaundice were meta-analyzed, and the advantages of phototherapy were summarized. Methods: PubMed, Embase, Cochrane Library, and Web of Science databases were searched using subject + free words for the subject words "phototherapy," "jaundice," and "full-term newborn," and the search time was limited from 1 January 2000 to 25 April 2024, and the search language was unlimited. According to the inclusion criteria and exclusion criteria, two researchers independently conducted a three-level screening of the retrieved literature to obtain the included literature. Collected and compared information included in the literature. Review Manager 5.3 was used to plot bias plots, forest plots, and funnel plots. Statistical analyses were performed using IBM SPSS Statistics 26 and Stata 17 software. Results: We obtained a total of 486 literature entries, of which 17 were included in the systematic review. The meta-analysis included 647 full-term neonates from 14 studies with complete serum total bilirubin (STB) data before and after phototherapy. The pooled mean reduction in STB was 5.43 mg/dL (95% CI: 5.30-5.56). Conclusion: Proper phototherapy can significantly reduce the level of STB and eliminate the symptoms of jaundice in full-term neonates. Light-emitting diode phototherapy devices demonstrated higher efficacy compared with fluorescent tube systems. The treatment is safe with minimal adverse effects. Systematic Review Registration: PROSPERO.

Indexed as

full-term neonatesjaundicemeta-analysisphototherapytherapeutic effect

Identifiers

PMID42422250
PMCPMC13341653

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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 OpenQuestion graph.