Evidence map›Paper›PMID 40677300›Full record

ArticleClinical case reports2025

Acetaminophen Poisoning: Case Reports of Early Liver Dialysis for Hepatic Injury.

Mitra Rahimi, Shahin Shadnia, Babak Mostafazadeh, Peyman Erfan Talab Evini, Sayed Masoud Hosseini, Niloofar Deravi, Mohaddeseh Belbasi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical case reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Mitra RahimiToxicological Research Center, Excellence Center of Clinical Toxicology, Department of Clinical Toxicology, Loghman Hakim Hospital Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-8785-8207
Shahin ShadniaToxicological Research Center, Excellence Center of Clinical Toxicology, Department of Clinical Toxicology, Loghman Hakim Hospital Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-9401-0781
Babak MostafazadehToxicological Research Center, Excellence Center of Clinical Toxicology, Department of Clinical Toxicology, Loghman Hakim Hospital Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0003-4872-9610
Peyman Erfan Talab EviniToxicological Research Center, Excellence Center of Clinical Toxicology, Department of Clinical Toxicology, Loghman Hakim Hospital Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-0995-4973
Sayed Masoud HosseiniToxicological Research Center, Excellence Center of Clinical Toxicology, Department of Clinical Toxicology, Loghman Hakim Hospital Shahid Beheshti University of Medical Sciences Tehran Iran.
Niloofar DeraviStudents Research Committee Shahid Beheshti University of Medical Sciences Tehran Iran.
Mohaddeseh BelbasiStudents Research Committee, School of Pharmacy Zanjan University of Medical Sciences Zanjan Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In acetaminophen-induced acute liver failure, early use of extracorporeal artificial liver support using BS330/HA330-II filters improves liver function, coagulation profiles, bilirubin levels, and may obviate the need for liver transplantation. Early adjunctive use with N-acetylcysteine may optimize outcomes; further studies are necessary to confirm efficacy, safety, and standardized protocols.

Indexed as

acetaminophenartificial liver supportcase reportsliver function testspoisoning

Identifiers

PMID40677300
PMCPMC12268227

What OpenQuestion holds

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Registered trials

None linked

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.