Evidence map›Paper›PMID 40735252›Full record

ReviewHealth science reports2025

The Effect of Intravenous Albumin Administration Before Exchange Transfusion in Infants With Hyperbilirubinemia: A Meta-Analysis.

Romina Kamyab, Siroos Hemmatpour, Ramyar Rahimi Darehbagh, Yousef Moradi, Nona Amirimanesh

Abstract readReview
In one paragraph

Review in Health science reports, 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

5 authors.

Romina KamyabSchool of Medicine, Besat Hospital Kurdistan University of Medical Sciences Sanandaj Iran.
Siroos HemmatpourDepartment of Pediatrics, School of Medicine, Besat Hospital Kurdistan University of Medical Sciences Sanandaj Iran.
Ramyar Rahimi DarehbaghStudent Research Committee Kurdistan University of Medical Sciences Sanandaj Iran.
Yousef MoradiSocial Determinant of the Health Research Center, Research Institute for Health Development Kurdistan University of Medical Sciences Sanandaj Iran.ORCID https://orcid.org/0000-0002-2936-5930
Nona AmirimaneshDepartment of Neonatology Shahid Beheshti University of Medical Sciences (SBUMS) Tehran Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: This meta-analysis aimed to assess the impact of intravenous albumin administration before exchange transfusion in infants diagnosed with hyperbilirubinemia. Methods: A comprehensive search was conducted in multiple electronic databases, including PubMed (Medline), Scopus, Embase, Web of Science, Cochrane Library, and ClinicalTrials.gov, using relevant keywords. The quality of the included randomized controlled trials (RCTs) was evaluated using the Cochrane Risk of Bias tool. Statistical analyses were performed using STATA (Version 18) and RevMan (Version 5). Results: Four RCTs met the inclusion criteria. Pooled analysis indicated a nonsignificant reduction in total bilirubin levels following intravenous albumin administration (SMD: -2.19; 95% CI: -4.79 to 0.41; Conclusion: While intravenous albumin administration before exchange transfusion did not show a statistically significant effect on total bilirubin levels overall, a potential bilirubin-lowering effect was observed when measured at later time points. Moreover, albumin significantly reduced the duration of phototherapy. These findings suggest potential clinical benefit, though further high-quality RCTs are warranted.

Indexed as

bilirubinhyperbilirubinemiaintravenous albumin administrationmeta‐analysisphototherapy

Identifiers

PMID40735252
PMCPMC12301573

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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.