Evidence map›Paper›PMID 38339958›Full record

ArticleTransactions of the Royal Society of Tropical Medicine and Hygiene2024

Lessons from the field: compound-specific management in acute pesticide poisoning.

Vasundhara R Verma, Thomas Lamb, Md Abdus Sattar, Aniruddha Ghose, Michael Eddleston

Abstract read
In one paragraph

Article in Transactions of the Royal Society of Tropical Medicine and Hygiene, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Current Advances in Aptasensors for Pesticide Detection.Topics in current chemistry (Cham) · 2025
    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

5 authors.

Vasundhara R VermaPharmacology, Toxicology and Therapeutics, University/BHF Centre for Cardiovascular Science, University of Edinburgh, UK.
Thomas LambPharmacology, Toxicology and Therapeutics, University/BHF Centre for Cardiovascular Science, University of Edinburgh, UK.ORCID 0000-0001-6102-2981
Md Abdus SattarDepartment of Medicine, Chittagong Medical College and Hospital, Chattogram, Bangladesh.
Aniruddha GhoseDepartment of Medicine, Chittagong Medical College and Hospital, Chattogram, Bangladesh.
Michael EddlestonPharmacology, Toxicology and Therapeutics, University/BHF Centre for Cardiovascular Science, University of Edinburgh, UK.

Funding

Centre for Pesticide Suicide PreventionOpen Philanthropy
6 · The paper itself

Abstract

Pesticide poisoning is a common medical emergency in the rural tropics, with significant associated mortality. Pesticide poisoning is an umbrella term that encompasses a wide variety of substances with differing clinical toxidromes and outcomes. Despite this, confirmation of the specific compound ingested is rarely performed. In this Lessons from the Field, we argue that pesticide-specific management is integral to optimise management. Using data from a quality improvement project in Chittagong, Bangladesh, we demonstrate that identifying the specific compound is possible in most patients through careful history taking and examination of the pesticide bottle. Identification of the specific compound is essential for anticipating and reducing complications, administering appropriate and timely management and reducing the length of hospital stay and cost of unnecessary medical intervention.

Indexed as

PesticidesPoisoningAcute DiseaseBangladeshEmergency TreatmentHumansLength of StayOverdiagnosisPesticidesinsecticideorganophosphatepesticidepoisoningpyrethroidtoxicology

Identifiers

PMID38339958
PMCPMC11149373

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.