Evidence map›Paper›PMID 10537962›Full record

ReviewPharmacoEconomics1999

Counting the costs of drug-related adverse events.

T J White, A Arakelian, J P Rho

Abstract readReview
PubMed Publisher
In one paragraph

Review in PharmacoEconomics, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 5 pooled it
–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

55 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Pooled it
  6. Review
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  9. The use of PD-1 functional knockout rats to study idiosyncratic adverse reactions to nevirapine.Toxicological sciences : an official journal of the Society of Toxicology · 2024
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  17. Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events.International journal of environmental research and public health · 2021
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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

3 authors.

T J WhiteDepartment of Pharmaceutical Economics and Policy, University of Southern California School of Pharmacy, Los Angeles, USA.
A Arakelian
J P Rho

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adverse drug events occur frequently and lead to a significant number of fatalities each year. It has been estimated that fatalities directly attributable to adverse drug reactions are the fourth to sixth leading cause of death in US hospitals, exceeding deaths caused by pneumonia and diabetes. The economic burden resulting from drug-related morbidity and mortality is equally significant and has been conservatively estimated at $US30 billion dollars annually, and could exceed $US130 billion in a worst-case scenario. Since many adverse drug events are considered preventable, increased efforts should be made to avoid classes of drugs that are problem-prone and to initiate diligent monitoring of drugs with predictable toxicities. Programmes should also be implemented that improve medication use practices within institutions. Although nearly all drugs are capable of producing an injury, certain drugs are more likely to do so. Prevention of drug-related morbidity and mortality has become an increasingly important requirement for reducing healthcare expenditures. This article will review studies that examine the economic implications of drug-related adverse events.

Indexed as

Drug-Related Side Effects and Adverse ReactionsAnimalsCost of IllnessEconomics, PharmaceuticalHumansPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

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.