Evidence map›Paper›PMID 24697850›Full record

ArticleBritish journal of clinical pharmacology2014

Prediction of paraquat exposure and toxicity in clinically ill poisoned patients: a model based approach.

Klintean Wunnapuk, Fahim Mohammed, Indika Gawarammana, Xin Liu, Roger K Verbeeck, Nicholas A Buckley, Michael S Roberts, Flora T Musuamba

Open access · bronzeAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

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

17 citing papers in PubMed, 48 citations in OpenAlex.

  1. Trial
  2. Article
  3. The efficacy of hemodialysis on paraquat poisoning mortality: A systematic review and meta-analysis.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2022
    Review
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  15. Editor's Highlight: Base Excision Repair Variants and Pesticide Exposure Increase Parkinson's Disease Risk.Toxicological sciences : an official journal of the Society of Toxicology · 2017
    Article
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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 at 6 institutions in 6 countries.

Klintean WunnapukTherapeutics Research Centre, School of Medicine, The University of Queensland, Brisbane, QLD, Australia; Department of Forensic Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Fahim Mohammed
Indika Gawarammana
Xin Liu
Roger K Verbeeck
Nicholas A Buckley
Michael S Roberts
Flora T Musuamba
UCLouvain · BEUniversity of Sydney · AUChiang Mai University · THSouth Asian Clinical Toxicology Research Collaboration · LKSouth Australia Pathology · AUUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsParaquat poisoning is a medical problem in many parts of Asia and the Pacific. The mortality rate is extremely high as there is no effective treatment. We analyzed data collected during an ongoing cohort study on self-poisoning and from a randomized controlled trial assessing the efficacy of immunosuppressive therapy in hospitalized paraquat-intoxicated patients. The aim of this analysis was to characterize the toxicokinetics and toxicodynamics of paraquat in this population.

methodsA non-linear mixed effects approach was used to perform a toxicokinetic/toxicodynamic population analysis in a cohort of 78 patients.

resultsThe paraquat plasma concentrations were best fitted by a two compartment toxicokinetic structural model with first order absorption and first order elimination. Changes in renal function were used for the assessment of paraquat toxicodynamics. The estimates of toxicokinetic parameters for the apparent clearance, the apparent volume of distribution and elimination half-life were 1.17 l h(-1) , 2.4 l kg(-1) and 87 h, respectively. Renal function, namely creatinine clearance, was the most significant covariate to explain between patient variability in paraquat clearance.This model suggested that a reduction in paraquat clearance occurred within 24 to 48 h after poison ingestion, and afterwards the clearance was constant over time. The model estimated that a paraquat concentration of 429 μg l(-1) caused 50% of maximum renal toxicity. The immunosuppressive therapy tested during this study was associated with only 8% improvement of renal function.

conclusionThe developed models may be useful as prognostic tools to predict patient outcome based on patient characteristics on admission and to assess drug effectiveness during antidote drug development.

Indexed as

AdolescentAdultAgedFemaleHerbicidesHumansMaleMetabolic Clearance RateMiddle AgedModels, BiologicalParaquatHerbicidesParaquatcreatinine clearanceimmunosuppressivekidney functionparaquattoxicodynamicstoxicokinetics

Identifiers

PMID24697850
PMCPMC4239979
OpenAlexW2095800227

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.