Evidence map›Paper›PMID 39853027›Full record

ArticleToxics2024

Responses of an

Sabina Burla, Aline Chary, Tommaso Serchi, Sébastien Cambier, Kristie Sullivan, Elizabeth Baker, Nikaeta Sadekar, Arno C Gutleb

Abstract read
In one paragraph

Article in Toxics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Sabina BurlaLuxembourg Institute of Science and Technology (LIST), 4422 Belvaux, Luxembourg.ORCID 0000-0003-1929-075X
Aline CharyLuxembourg Institute of Science and Technology (LIST), 4422 Belvaux, Luxembourg.ORCID 0000-0002-8325-211X
Tommaso SerchiLuxembourg Institute of Science and Technology (LIST), 4422 Belvaux, Luxembourg.ORCID 0000-0003-2386-3514
Sébastien CambierLuxembourg Institute of Science and Technology (LIST), 4422 Belvaux, Luxembourg.
Kristie SullivanPhysicians Committee for Responsible Medicine (PCRM), Washington, DC 20016, USA.ORCID 0000-0002-5279-3271
Elizabeth BakerPhysicians Committee for Responsible Medicine (PCRM), Washington, DC 20016, USA.
Nikaeta SadekarResearch Institute for Fragrance Materials (RIFM), Woodcliff Lake, NJ 07430, USA.ORCID 0000-0002-8329-3720
Arno C GutlebLuxembourg Institute of Science and Technology (LIST), 4422 Belvaux, Luxembourg.ORCID 0000-0001-9725-9112

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, a global increase in allergy incidence following chemical exposure has been observed. While the process of skin sensitization is well characterized through the adverse outcome pathway (AOP) framework, the immunological mechanisms underlying respiratory sensitization remain less well understood. Respiratory sensitizers are classified as substances of very high concern (SVHC) under the European Union (EU) regulation for the registration, evaluation, authorization and restriction of chemicals (REACH), emphasizing the importance of evaluating respiratory tract sensitization as a critical hazard. However, the existing new approach methodologies (NAMs) for the identification of skin sensitizers lack the capacity to differentiate between skin and respiratory sensitizers. Thus, it is imperative to develop physiologically relevant test systems specifically tailored to assess respiratory sensitizers. This study aimed to evaluate the efficacy of ALIsens

Indexed as

air-liquid-interface exposurecell surface markerschemical allergydendritic cell activationnew approach methodologiesrespiratory sensitization

Identifiers

PMID39853027
PMCPMC11769448

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.