Evidence map›Paper›PMID 41343570›Full record

Observational studyPloS one2025

Lactate-to-albumin ratio and albumin-corrected anion gap as predictors of outcome in methanol poisoning: A retrospective observational study.

İlter Ağaçkıran, Merve Ağaçkıran

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. 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

2 authors.

İlter AğaçkıranDepartment of Emergency Medicine, School of Medicine, Hitit University, Corum, Turkey.ORCID https://orcid.org/0000-0003-4859-2220
Merve AğaçkıranDepartment of Emergency Medicine, Corum Erol Olcok Training and Research Hospital, Corum, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethanol poisoning is a serious condition with high morbidity and mortality, mainly due to its metabolism to toxic formic acid. Laboratory findings, particularly albumin-corrected anion gap (ACAG) and lactate-to-albumin ratio (LAR), can lead critical in assessing the severity of toxicity. This study aims to evaluate the prognostic significance of ACAG, lactate-to-albumin ratio and other laboratory markers in methanol poisoning and to assess the impact of admission time on patient outcome.

methodsA retrospective observational study was conducted in a tertiary emergency department. Patients aged ≥18 years presenting with suspected methanol poisoning between January 2020 and December 2023 were included. Diagnosis was based on the American Academy of Clinical Toxicology (AACT) treatment criteria combined with metabolic acidosis and a suggestive history. Clinical and laboratory parameters were compared between good outcome (CPC = 1) and poor outcome (CPC ≥ 2, including deaths) groups.

resultsForty-two patients were included. The mean age was 43.45 years and 95.2% were male. The mortality rate was 35.7%. Among patients with poor outcome (n = 17), 15 died and 2 survived with severe neurological sequelae. Patients with poor outcomes had significantly lower pH and bicarbonate levels and higher AG, ACAG, lactate, and creatinine levels (p < 0.001). ACAG ≥25.6 and LAR ≥ 1.24 were the strongest prognostic markers for poor prognosis. Hypotension and osmolar gap differences were noted but were evaluated only as supportive indicators of severity.

conclusionACAG and LAR can lead useful prognostic markers in methanol poisoning. Patients with ACAG ≥25.6 or LAR ≥ 1.24 should be closely monitored and considered for early intensive management.

Indexed as

Lactic AcidMethanolPoisoningSerum AlbuminAcid-Base EquilibriumAdultBiomarkersFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesBiomarkersLactic AcidMethanolSerum Albumin

Identifiers

PMID41343570
PMCPMC12677794

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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.