Evidence map›Paper›PMID 40219578›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2025

[Classical Sweet syndrome with multiple organ lesions by

Zhao Chen, Yongkang Qiu, Lei Kang

Abstract readCase ReportsEnglish Abstract
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2025. 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
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.

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

3 authors.

Zhao ChenDepartment of Nuclear Medicine, Peking University First Hospital, Beijing 100034, China.
Yongkang QiuDepartment of Nuclear Medicine, Peking University First Hospital, Beijing 100034, China.
Lei KangDepartment of Nuclear Medicine, Peking University First Hospital, Beijing 100034, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sweet syndrome (acute febrile neutrophilic dermatosis) is a relatively rare inflammatory di-sease, which is characterized by the sudden appearance of tender erythematous skin lesions, often accompanied by pyrexia and elevated neutrophil count. The pathogenesis is not clear yet. Recently, multiple studies have found the association between Sweet syndrome and infections, autoimmune diseases, malignant tumors and the application of multiple drugs. According to different causes, Sweet syndrome can be divided into three types: classical (or idiopathic) Sweet syndrome, malignancy-associated Sweet syndrome and drug-induced Sweet syndrome. Classical Sweet syndrome usually presents in women between the age of 30 to 50 years and may be related to infection, inflammatory bowel disease, or pregnancy. The clinical symptoms typically respond promptly after corticosteroid therapy. The major diagnostic criteria of classical Sweet syndrome include sudden painful erythematous skin lesions, histopathologic evidence of a dense neutrophilic infiltrate without evidence of leukocytoclastic vasculitis; minor criteria include pyrexia over 38 ℃, association with hematologic or visceral malignancies, inflammatory diseases, pregnancy or preceded by infection, prompt response to systemic glucocorticoid or potassium iodide treatment, abnormal laboratory values (three of four: erythrocyte sedimentation rate >20 mm/h, positive C-reactive protein, >8.0×10

Indexed as

Positron Emission Tomography Computed TomographySweet SyndromeFemaleFluorodeoxyglucose F18HumansFluorodeoxyglucose F18DiagnosisPositron emission tomography computed tomographySweet syndrome

Identifiers

PMID40219578
PMCPMC11992453

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.