Evidence map›Paper›PMID 39703394›Full record

SynthesisFrontiers in pharmacology2024

Yinzhihuang injection as adjuvant treatment for neonatal hyperbilirubinemia: a systematic review and meta-analysis of randomized clinical trials.

Junqiang Li, Liyu Zhang, Zhongguo Chen, Min Qin

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pharmacology, 2024. 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.

Junqiang LiDepartment of Neonatology, Lincang Maternity and Child Health Hospital, Lincang, Yunnan, China.
Liyu ZhangAdministrative Department of Lincang Maternity and Child Health Hospital, Lincang, Yunnan, China.
Zhongguo ChenDepartment of Neonatology, Lincang Maternity and Child Health Hospital, Lincang, Yunnan, China.
Min QinAdministrative Department of Lincang Maternity and Child Health Hospital, Lincang, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neonatal hyperbilirubinemia (NH) is a common phenomenon for neonate inpatients, and Yinzhihuang (YZH) injection is a well-known Chinese herbal formula for the treatment of NH. This study aims to evaluate the efficacy of YZH injection on NH. Methods: A comprehensive literature search was performed in four Chinese databases [China National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature (CBM), China Science Journal Database (VIP), and Wan Fang ] and four English language databases (PubMed, Web of Science, EMbase and the Cochrane Library) from inception to 16 April 2024. Randomized controlled trials on YZH injection for NH were collected. Review Manager 5.4 software was used for meta-analysis and bias risk assessment. Result: Twenty-two trials involving 2,714 neonates were included. Significant differences were detected between YZH injection group and control group for total effective rate (RR = 1.15, 95%CI: 1.11 to 1.20, Conclusion: The use of YZH injection as an adjuvant to NH appears to be safe and may offer superior benefits compared to routine treatment alone for NH. However, these potential benefits require confirmation in future trials employing rigorous methodology. The current evidence is not enough to recommend YZH injection as a routine treatment for NH. Systematic Review Registration: PROSPERO (https://www.crd.york.ac.uk/prospero/), identifier, CRD42024556811.

Indexed as

meta-analysisneonatal hyperbilirubinemiapaediatricssystematic reviewYinzhihuang injection

Identifiers

PMID39703394
PMCPMC11655195

What OpenQuestion holds

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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.