Evidence map›Paper›PMID 32998294›Full record

ArticleToxics2020

Acute Poisoning with Rhabdomyolysis in the Intensive Care Unit: Risk Factors for Acute Kidney Injury and Renal Replacement Therapy Requirement.

Pierre-François Rogliano, Sebastian Voicu, Laurence Labat, Nicolas Deye, Isabelle Malissin, Jean-Louis Laplanche, Dominique Vodovar, Bruno Mégarbane

Abstract read
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In one paragraph

Article in Toxics, 2020. 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

8 authors.

Pierre-François RoglianoDepartment of Medical and Toxicological Critical Care, Federation of Toxicology APHP, Lariboisière Hospital, University of Paris, 75010 Paris, France.
Sebastian VoicuDepartment of Medical and Toxicological Critical Care, Federation of Toxicology APHP, Lariboisière Hospital, University of Paris, 75010 Paris, France.
Laurence LabatInserm UMRS 1144, University of Paris, 75010 Paris, France.
Nicolas DeyeDepartment of Medical and Toxicological Critical Care, Federation of Toxicology APHP, Lariboisière Hospital, University of Paris, 75010 Paris, France.
Isabelle MalissinDepartment of Medical and Toxicological Critical Care, Federation of Toxicology APHP, Lariboisière Hospital, University of Paris, 75010 Paris, France.
Jean-Louis LaplancheInserm UMRS 1144, University of Paris, 75010 Paris, France.
Dominique VodovarDepartment of Medical and Toxicological Critical Care, Federation of Toxicology APHP, Lariboisière Hospital, University of Paris, 75010 Paris, France.ORCID 0000-0002-8196-5511
Bruno MégarbaneDepartment of Medical and Toxicological Critical Care, Federation of Toxicology APHP, Lariboisière Hospital, University of Paris, 75010 Paris, France.ORCID 0000-0002-2522-2764

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is the major complication of rhabdomyolysis. We aimed to identify the predictive factors for AKI and renal replacement therapy (RRT) requirement in poisoning-associated rhabdomyolysis. We conducted a cohort study including 273 successive poisoned patients (median age, 41 years) who developed rhabdomyolysis defined as creatine kinase (CK) >1000 IU/L. Factors associated with AKI and RRT requirement were identified using multivariate analyses. Poisonings mainly involved psychotropic drugs. AKI occurred in 88 patients (37%) including 43 patients (49%) who required RRT. Peak serum creatinine and CK were weakly correlated (

Indexed as

acute kidney injurypoisoningpredictive factorrenal replacement therapyrhabdomyolysis

Identifiers

PMID32998294
PMCPMC7711436

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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 OpenQuestion graph.