Evidence map›Paper›PMID 38270805›Full record

ReviewCurrent allergy and asthma reports2024

Predictors of Clonality and Underlying Mastocytosis in Mast Cell Activation Syndromes.

David Gonzalez-de-Olano, Iván Álvarez-Twose

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In one paragraph

Review in Current allergy and asthma reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 1 country.

David Gonzalez-de-OlanoDepartment of Allergy, Hospital Ramón y Cajal, IRYCIS, Ctra. Colmenar Viejo km 9,1, 28034, Madrid, Spain. dgolano@yahoo.es.ORCID 0000-0001-6653-4900
Iván Álvarez-TwoseSpanish Network on Mastocytosis (REMA), Toledo and Salamanca, Spain. ivana@sescam.jccm.es.ORCID 0000-0002-1190-4473
Instituto Cajal · ESSpanish Multiple Sclerosis Network · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewMast cell (MC) activation can present with a wide range of symptoms. The mechanisms that cause such activation are varied. One of them is the presence of clonal MCs which is defined, within other possible changes, by the presence of a somatic, activating mutation in the KIT gene. The clinical course and prognosis of patients with this underlying disease may be different from other causes of MC activation (MCA). For this reason, it is important to early diagnose, or at least suspect, which patients with MCA are due to clonal MCs. RECENT

findingsThe diagnosis of clonality must be made in a comprehensive manner. However, this paper reviews chronologically each of the stages from the patient's first visit to the doctor's office which can be indicative of clonality: clinical presentation of MCA, physical examination, analytical determinations of tryptase, and/or KIT mutational analysis and bone involvement, among others. The different clonality predictive scores proposed are also reviewed and compared. Although the gold standard for the diagnosis of certainty of MC clonality is the performance of a bone marrow (BM) biopsy, there are clinical symptoms, signs, and biological parameters suggestive of clonality, as well as predictive scores, which can guide (or rule out) an early diagnosis and avoid unnecessary BM biopsies.

Indexed as

Mast Cell Activation SyndromeMastocytosisHumansMast CellsMutationPrognosisProto-Oncogene Proteins c-kitTryptasesProto-Oncogene Proteins c-kitTryptasesActivationAnaphylaxisKITMutationScoreTryptase

Identifiers

PMID38270805
OpenAlexW4391223934

What OpenQuestion holds

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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.