Evidence map›Paper›PMID 28168440›Full record

ArticleInternational urology and nephrology2017

Can duration of hemodialysis be estimated based on the on-arrival laboratory tests and clinical manifestations in methanol-poisoned patients?

Abdolkarim Pajoumand, Nasim Zamani, Hossein Hassanian-Moghaddam, Shahin Shadnia

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Article in International urology and nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

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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

4 authors at 2 institutions in 1 country.

Abdolkarim PajoumandToxicological Research Center, Department of Clinical Toxicology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Nasim ZamaniToxicological Research Center, Department of Clinical Toxicology, Shahid Beheshti University of Medical Sciences, Tehran, Iran. nasim.zamani@gmail.com.
Hossein Hassanian-MoghaddamToxicological Research Center, Department of Clinical Toxicology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahin ShadniaToxicological Research Center, Department of Clinical Toxicology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IRMinistry of Health and Medical Education · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to evaluate the efficacy of Lachance formula and more readily available clinical or laboratory factors (other than serum methanol level) in prediction of the needed time for hemodialysis in methanol-poisoned patients.

methodsIn a retrospective study, all methanol-poisoned patients referred to us between March 2008 and March 2016 were enrolled. The patients' demographic characteristics, on-arrival vital signs, signs/symptoms, and laboratory tests were evaluated for factors that could prognosticate the dialysis duration.

resultsOf 72 patients enrolled, 54 underwent hemodialysis once (group 1) and 18 needed more than one session of hemodialysis (group 2). All were treated by ethanol, bicarbonate, and leucovorin. Lachance formula overestimated the patients in higher methanol levels and underestimated them in lower methanol levels. It properly predicted the needed time for hemodialysis when the methanol level was between 15 and 25 mg/dL. Groups 1 and 2 were different in terms of their ingested alcohol dose (P = 0.001), creatinine (P = 0.02), dyspnea on presentation (P = 0.002), and the place they had been dialyzed (P = 0.013). Dialysis duration significantly correlated with dyspnea on presentation (P = 0.028) and ingested alcohol dose (P = 0.02). After performance of logistic regression analysis, only creatinine was statistically significantly different between the two groups (P = 0.02). Median creatinine levels were 1.3 [1, 6] (0.8-2.7) and 1.4 [1.35, 2.1] (0.8-6.5) in the patients who were dialyzed once and twice, respectively.

conclusionsAs a conclusion, creatinine is possibly a readily available test that can predict the appropriate time needed for hemodialysis in methanol-poisoned patients.

Indexed as

Renal DialysisAdolescentAdultAgedCreatinineCross-Sectional StudiesFemaleHumansMaleMathematical ConceptsMethanolMiddle AgedPoisoningRetrospective StudiesTime FactorsVision DisordersCreatinineMethanolDialysisDurationMethanolPoisoning

Identifiers

PMID28168440
OpenAlexW2584944253

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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.