Evidence map›Paper›PMID 39434907›Full record

ArticleFrontiers in pharmacology2024

Impact of albumin infusion on prognosis in ICU patients with cirrhosis and AKI: insights from the MIMIC-IV database.

Mengqi Li, Yidi Ge, Jingjing Wang, Wenya Chen, Jiashuo Li, You Deng, Wen Xie

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Mengqi LiCenter of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Yidi GeCenter of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Jingjing WangCenter of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Wenya ChenCenter of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Jiashuo LiCenter of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
You DengLiver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Wen XieCenter of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute kidney injury (AKI) is common in cirrhotic patients, especially in the intensive care unit (ICU), and is often associated with poor prognosis. Albumin is often used for plasma volume expansion, but its efficacy in cirrhotic patients with AKI [excluding hepatorenal syndrome (HRS)] is debated. This study aimed to assess the impact of albumin therapy on prognosis in ICU patients with cirrhosis and non-HRS AKI. Methods: A retrospective analysis was conducted using the MIMIC-IV 2.2 database. The primary endpoint was 28-day mortality. Inverse probability of treatment weighting (IPTW) was used to balance baseline characteristics between the albumin and non-albumin groups. Results: A total of 1,623 patients were included, with 586 receiving albumin. After IPTW, the sample sizes were 1,713 in the non-albumin group and 1,490 in the albumin group. Albumin administration was associated with higher rates of AKI recovery at 48 h but did not improve 28-day mortality in the overall cohort. Further analysis revealed that using 5% albumin concentration was associated with improved 28-day mortality (HR 0.68; 95% CI 0.49-0.95; Conclusion: Although albumin therapy improved 28-day mortality in some cases, it may also increase mortality in certain subgroups. The use of albumin in critically ill patients with cirrhosis and AKI should be approached with greater consideration of its risks and benefits.

Indexed as

28-day mortalityacute kidney injuryalbumin therapycirrhosisinverse probability of treatment weighting

Identifiers

PMID39434907
PMCPMC11491358

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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.