Evidence map›Paper›PMID 37628756›Full record

ReviewInternational journal of molecular sciences2023

Tools for Etiologic Diagnosis of Drug-Induced Allergic Conditions.

Rosa Rodríguez-Pérez, Leticia de Las Vecillas, Rosario Cabañas, Teresa Bellón

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

4 authors at 1 institution in 1 country.

Rosa Rodríguez-PérezInstitute for Health Research Hospital Universitario La Paz (IdiPAZ), Paseo Castellana 261, 28046 Madrid, Spain.ORCID 0000-0003-0771-7103
Leticia de Las VecillasInstitute for Health Research Hospital Universitario La Paz (IdiPAZ), Paseo Castellana 261, 28046 Madrid, Spain.
Rosario CabañasInstitute for Health Research Hospital Universitario La Paz (IdiPAZ), Paseo Castellana 261, 28046 Madrid, Spain.
Teresa BellónInstitute for Health Research Hospital Universitario La Paz (IdiPAZ), Paseo Castellana 261, 28046 Madrid, Spain.ORCID 0000-0002-0138-6879
Hospital Universitario La Paz · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug hypersensitivity reactions are a serious concern in clinical practice because they can be severe and result in lifelong sequelae. An accurate diagnosis and identification of the culprit drug is essential to prevent future reactions as well as for the identification of safe treatment alternatives. Nonetheless, the diagnosis can be challenging. In vivo and in vitro tests can be helpful, although none are conclusive; therefore, the tests are not usually performed in isolation but as part of a diagnostic algorithm. In addition, some in vitro tests are only available in research laboratories, and standardization has not been fully accomplished. Collaborating research is needed to improve drug hypersensitivity reaction diagnosis. In this review, we update the current available in vivo and in vitro tools with their pros and cons and propose an algorithm to integrate them into clinical practice.

Indexed as

Drug HypersensitivityHypersensitivityAlgorithmsCausalityDisease ProgressionHumansanaphylaxisdiagnosticdrug hypersensitivityIgEin vitro testssevere cutaneous reactionsT cells

Identifiers

PMID37628756
PMCPMC10454098
OpenAlexW4385665438

What Socratic 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 Socratic graph.