Evidence map›Paper›PMID 41695161›Full record

ArticleFrontiers in medicine2026

Association between platelet levels and bleeding events in patients with acute-on-chronic liver failure treated with an artificial liver support system.

Li Yang, Fang Chen, Lingyao Du, Yuanji Ma, Lang Bai, Hong Tang

Abstract read
In one paragraph

Article 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

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

6 authors.

Li YangCenter of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China.
Fang ChenCenter of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China.
Lingyao DuCenter of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China.
Yuanji MaCenter of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China.
Lang BaiCenter of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China.
Hong TangCenter of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Platelet reduction is associated with an increased risk of bleeding in patients with chronic liver disease. However, the association between platelet levels and bleeding events in patients with liver failure treated with an artificial liver support system (ALSS) remains unclear. Methods: This retrospective study included patients with acute-on-chronic liver failure (ACLF) who received ALSS treatment. Logistic and linear regression analyses were employed to assess the association between platelet levels and bleeding events during hospitalization and the relationship between sessions of ALSS treatment and platelet reduction rates. Results: We included 262 patients, of whom 56 (21.4%) experienced bleeding events during hospitalization. Baseline platelet levels in patients with bleeding events were significantly lower than those in patients without bleeding events (59.0 (39.0 ~ 89.3) × 10 Conclusion: Patients with ACLF who underwent ALSS treatment with lower baseline platelet levels were at an increased risk of bleeding during hospitalization, whereas the platelet reduction rate was not independently associated with bleeding risk. These findings underscore the importance of baseline platelet count rather than platelet reduction for early risk stratification in patients with ACLF.

Indexed as

acute-on-chronic liver failureartificial liver support systembleeding eventrisk factorthrombocytopenia

Identifiers

PMID41695161
PMCPMC12894294

What Socratic holds

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LicenceCC BY
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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.