Evidence map›Paper›PMID 36044199›Full record

ReviewCardiovascular journal of Africa

Kounis syndrome caused by bee sting: a case report and literature review.

Wen-Juan Lin, Yue-Qing Zhang, Zhen Fei, Dan-Dan Liu, Xing-Hang Zhou

Open access · hybridAbstract readReviewCase Reports
In one paragraph

Review in Cardiovascular journal of Africa. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

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

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

5 authors at 1 institution in 1 country.

Wen-Juan LinDepartment of Cardiology, The First Affiliated Hospital of Zhejiang University, Hangzhou, China. Email: linwenjuan2021@163.com.
Yue-Qing ZhangDepartment of Cardiology, The First Affiliated Hospital of Zhejiang University, Hangzhou, China.
Zhen FeiDepartment of Cardiology, The First Affiliated Hospital of Zhejiang University, Hangzhou, China.
Dan-Dan LiuDepartment of Cardiology, Changxing Hospital of Traditional Chinese Medicine, Huzhou, China.
Xing-Hang ZhouDepartment of Internal Medicine, Hengdian Hospital, Dongyang, China.
First Affiliated Hospital Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kounis syndrome is defined as an acute coronary syndrome (ACS) secondary to allergic or hypersensitivity reactions. It can be further categorised into subtypes such as coronary vasospasms, acute myocardial infarction or stent thrombosis based on the pathogenesis. Kounis syndrome is most likely an underdiagnosed condition in China, given the many triggers reported in the literature. Herein, we report a case of Kounis syndrome, possibly triggered by a bee sting. The patient had late onset of angina symptoms with delayed diagnosis due to unfamiliarity with this condition. In patients with clinical signs of ACS that are superimposed on a hypersensitivity reaction, especially those with pre-existing cardiovascular risk factors, Kounis syndrome should be considered, so that appropriate assessment and treatment can be initiated. Prompt management of both the allergic reaction and the ACS is vital for Kounis syndrome.

Indexed as

Acute Coronary SyndromeHypersensitivityInsect Bites and StingsKounis SyndromeMyocardial InfarctionAngina PectorisAnimalsBeesHumansbee stingChinaKounis syndrome

Identifiers

PMID36044199
PMCPMC10870315
OpenAlexW4293901167

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.