Evidence map›Paper›PMID 39036346›Full record

ArticleF1000Research2023

Case Report: Hives and faints, an unusual affair.

Saket Toshniwal, Jiwan Kinkar, Sunil Kumar, Sourya Acharya, Madhukar Tikas, Isha Sahai, Benumadhab Ghosh, Suhit Naseri

Abstract readCase Reports
In one paragraph

Article in F1000Research, 2023. 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.

Saket ToshniwalGeneral medicine, Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, 442001, India.ORCID 0000-0002-3742-2835
Jiwan KinkarNeurology, Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, 442001, India.
Sunil KumarGeneral medicine, Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, 442001, India.
Sourya AcharyaGeneral medicine, Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, 442001, India.
Madhukar TikasGeneral medicine, Datta Meghe Institute of Higher Education and Research, Nagpur, Maharashtra, 442001, India.
Isha SahaiGeneral medicine, Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, 442001, India.ORCID 0000-0003-0938-0508
Benumadhab GhoshGeneral medicine, Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, 442001, India.ORCID 0000-0002-7895-5988
Suhit NaseriPathology, Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, 442001, India.ORCID 0000-0003-3503-6954

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholinergic urticaria (CholU) is a rare condition characterized by itchy hives in the form of 1-4 mm small, raised wheals on skin, which are short-lived for duration of 15 to 20 minutes; they are caused by stimuli associated with sweating such as from physical exercise. CholU is also known as cholinergic angioedema urticaria. Hereby, we present a case report of a 42-year-old male with ChoIU who presented with systemic manifestation in the form of recurrent attacks of syncope. Diagnosis was made after a detailed history taking and all cardiac and neurological evaluations done that were normal, and widespread literature research was done to rule out other causes of syncope as systemic symptoms are rarely seen in ChoIU. His IgE antibodies levels were highly increased. He was managed with nonsedating antihistamines and health education regarding the rare condition.

Indexed as

SyncopeUrticariaAdultHumansMaleCholinergic urticarianonsedating antihistamicssweatingsyncope

Identifiers

PMID39036346
PMCPMC11258541

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.