Evidence map›Paper›PMID 38800210›Full record

ArticleCureus2024

A Case Study of Abdominal Aortic Aneurysm Detection and Critical Vascular Surgery.

Mamta Kamboj, Arghadip Das, Hadeeqa Idris, Ajay Singh, Sachin M Chaudhary, Mohitha C Mallipeddi

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Mamta KambojInternal Medicine, Dayanand Medical College and Hospital, Ludhiana, IND.
Arghadip DasInternal Medicine, Nil Ratan Sircar Medical College and Hospital, Kolkata, IND.
Hadeeqa IdrisInternal Medicine, Shifa International Hospital Islamabad, Islamabad, PAK.
Ajay SinghInternal Medicine, Shri Ram Murti Smarak Institute of Medical Sciences, Bareilly, IND.
Sachin M ChaudharyInternal Medicine, Gujarat Cancer Society (GCS) Medical College, Hospital and Research Centre, Ahmedabad, IND.
Mohitha C MallipeddiInternal Medicine, Sri Venkateswara Institute of Medical Sciences (SVIMS), Tirupati, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abdominal aortic aneurysm, characterized by a persistent dilation exceeding 3 cm or 50% of the aortic diameter, poses a substantial risk, particularly in males over 65. Despite its potentially asymptomatic nature, early detection is imperative due to the elevated mortality rates, reaching 90% following rupture. The presented case involves a 60-year-old male with progressively worsening abdominal pain, a history of cardiovascular disease, hypertension, and smoking. Initial examinations were inconclusive, requiring advanced imaging that revealed a large aneurysmal dilation. Therapeutic measures included endovascular aneurysm repair (EVAR), highlighting the significance of timely intervention. Despite elective surgery risks, mortality rates decrease significantly when the aneurysm diameter surpasses 43 mm. This report stresses the need for primary care physicians to conduct thorough screenings, recognize risk factors, and facilitate prompt referrals for advanced imaging. The case's pivotal lesson lies in the comprehensive management of abdominal aortic aneurysm, showcasing the potential for life-saving interventions and the critical role of early detection in mitigating the severe consequences associated with its rupture.

Indexed as

abdominal aortic aneurysmearly detectionendovascular aneurysm repairrisk factorsscreeningvascular surgery

Identifiers

PMID38800210
PMCPMC11116928

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.