Evidence map›Paper›PMID 25386935›Full record

ReviewAnnual review of medicine2015

T cell-mediated hypersensitivity reactions to drugs.

Rebecca Pavlos, Simon Mallal, David Ostrov, Soren Buus, Imir Metushi, Bjoern Peters, Elizabeth Phillips

Abstract readReview
In one paragraph

Review in Annual review of medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed.

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20 more citing papers are in PubMed but not listed here.

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

7 authors.

Rebecca PavlosInstitute for Immunology and Infectious Diseases, Murdoch University, Murdoch, Western Australia, 6150; email: e.phillips@iiid.com.au.
Simon Mallal
David Ostrov
Soren Buus
Imir Metushi
Bjoern Peters
Elizabeth Phillips

Funding

Pharmacogenomics of Arrhythmia TherapyU19HL065962 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RODEN, DAN M · 2010 to 2014
$17.4M
Understanding and preventing HLA-associated drug reactionsP50GM115305 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DENNY, JOSHUA C. · 2015 to 2019
$13.0M
The Structural and Functional Basis of HLA-associated Drug HypersensitivityR01AI103348 · NIAID · UNIVERSITY OF FLORIDA · PI OSTROV, DAVID A · 2013 to 2016
$1.5M
NHLBI NIH HHS U19 HL065962NIAID NIH HHS R01 AI103348NIGMS NIH HHS P50 GM115305
6 · The paper itself

Abstract

The immunological mechanisms driving delayed hypersensitivity reactions (HSRs) to drugs mediated by drug-reactive T lymphocytes are exemplified by several key examples and their human leukocyte antigen (HLA) associations: abacavir and HLA-B*57:01, carbamazepine and HLA-B*15:02, allo-purinol and HLA-B*58:01, and both amoxicillin-clavulanate and nevirapine with multiple class I and II alleles. For HLA-restricted drug HSRs, specific class I and/or II HLA alleles are necessary but not sufficient for tissue specificity and the clinical syndrome. Several models have been proposed to explain the immunopathogenesis of severe T cell-mediated drug HSRs, and our increased understanding of the risk factors and mechanisms involved in the development of these reactions will further the development of sensitive and specific strategies for preclinical screening that will lead to safer and more cost-effective drug design.

Indexed as

Drug HypersensitivityDrug Hypersensitivity SyndromeHLA AntigensHumansHypersensitivity, DelayedStevens-Johnson SyndromeT-LymphocytesHLA Antigensaltered peptidehuman leukocyte antigenmajor histocompatibility complexpharmacogenomicsStevens-Johnson syndrometoxic epidermal necrolysis

Identifiers

PMID25386935
PMCPMC4295772

What OpenQuestion holds

Textmetadata
LicenceTDM
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.