Evidence map›Paper›PMID 39350754›Full record

ArticleClinical toxicology (Philadelphia, Pa.)2024

Poisoning and envenomation linkage to evaluate outcomes and clinical variation in Australia (PAVLOVA): a longitudinal data-linkage cohort of acute poisonings, envenomations, and adverse drug reactions in New South Wales, Australia, 2011-2020.

Rose Cairns, Firouzeh Noghrehchi, Jacques E Raubenheimer, Kate M Chitty, Geoffrey K Isbister, Angela L Chiew, Jonathan Brett, Andrew H Dawson, Jared A Brown, Nicholas A Buckley

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Article in Clinical toxicology (Philadelphia, Pa.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Rose CairnsSydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0002-8946-5079
Firouzeh NoghrehchiSydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0003-2263-2108
Jacques E RaubenheimerSydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0003-3907-304X
Kate M ChittySydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0002-7119-8953
Geoffrey K IsbisterNew South Wales Poisons Information Centre, The Sydney Children's Hospitals Network, Westmead, Australia.ORCID 0000-0003-1519-7419
Angela L ChiewNew South Wales Poisons Information Centre, The Sydney Children's Hospitals Network, Westmead, Australia.ORCID 0000-0002-0079-5056
Jonathan BrettNew South Wales Poisons Information Centre, The Sydney Children's Hospitals Network, Westmead, Australia.ORCID 0000-0003-3065-7495
Andrew H DawsonNew South Wales Poisons Information Centre, The Sydney Children's Hospitals Network, Westmead, Australia.ORCID 0000-0002-8047-397X
Jared A BrownNew South Wales Poisons Information Centre, The Sydney Children's Hospitals Network, Westmead, Australia.ORCID 0000-0001-6855-3865
Nicholas A BuckleySydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0002-6326-4711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPoisoning is a leading cause of morbidity and mortality that is increasing in many countries. Better data are needed to understand epidemiology and outcomes of poisoning. This work describes a new poisoning data linkage cohort in New South Wales, Australia (population approximately 8 million).

methodsThis is a longitudinal health record linkage, 2011-2020, including data from: ambulance call-outs, emergency department presentations, hospital admissions, death registrations, the poisons centre, and four tertiary toxicology units. Individuals with poisoning, venomous animal/plant exposures, or adverse drug reaction events were included.

resultsThere were 845,217 linkable events relating to 400,642 ambulance, 688,484 emergency department, 682,013 admission, 40,456 toxicology, and 11,879 death records. There were 572,841 people with events; the median age at the time of first event was 57 years, and 51.9% were female. Events leading to patient admission were most commonly adverse drug reactions ( DISCUSSION: Poisonings and hospitalised adverse drug reactions are common in New South Wales, affecting approximately 8% of the population in 10 years. This linkage improves understanding of poisoning risks and outcomes in Australia.

conclusionsThis novel data linkage provides a unique opportunity to study poisoning across multiple settings for an individual over an extended period.

Indexed as

PoisoningAdolescentAdultAgedAged, 80 and overBites and StingsChildChild, PreschoolCohort StudiesDrug-Related Side Effects and Adverse ReactionsFemaleHospitalizationHumansInfantInfant, NewbornLongitudinal StudiesAdverse drug reactiondata linkageenvenomationpoisoningrecord linkage

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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.