Evidence map›Paper›PMID 39273740›Full record

ArticleHealthcare (Basel, Switzerland)2024

Priapism Presentations in a Saudi Arabian Emergency Department: A Retrospective Study at a Tertiary Care Hospital.

Baraa Alghalyini, Abdul Rehman Zia Zaidi, Kanza Atif, Noorah Mosharraf, Hala Tamim, Muhammad Nauman Qureshi

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 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

6 authors.

Baraa AlghalyiniDepartment of Family and Community Medicine, College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0002-3907-5208
Abdul Rehman Zia ZaidiDepartment of Family and Community Medicine, College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Kanza AtifCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Noorah MosharrafCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Hala TamimDepartment of Family and Community Medicine, College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Muhammad Nauman QureshiDepartment of Emergency Medicine, King Faisal Specialist Hospital and Research Center, Riyadh 11564, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine the distribution, clinical characteristics, and management of priapism in a Saudi Arabian tertiary care setting to provide a regional perspective. SUBJECTS AND

methodsThis retrospective chart review included 29 male patients presenting with priapism at a tertiary care hospital in Riyadh, Saudi Arabia, from January 2011 to June 2023. Data were collected on patient demographics, clinical presentation, treatment modalities, and outcomes.

resultsThe study found recurrent episodes of priapism in many patients, with a significant number associated with hematological diseases, notably sickle cell disease. Most treatments involved non-surgical methods. A notable finding was the correlation between the duration of priapism episodes and the likelihood of hospital admissions, suggesting that prolonged episodes often required more extensive medical attention.

conclusionsPriapism often presents as a chronic and recurrent condition requiring personalized management strategies. This study emphasizes the importance of recognizing regional occurrence patterns to enhance the management of priapism and suggests a need for further research in regions where this condition is less common.

Indexed as

emergency departmentpriapismproportionretrospective studySaudi Arabia

Identifiers

PMID39273740
PMCPMC11394829

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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.