Evidence map›Paper›PMID 37843447›Full record

ArticleInterdisciplinary cardiovascular and thoracic surgery2023

Simulating aortic root replacement for a surgical wet laboratory in a resource-limited setting: an economical innovation.

Mian Mustafa Kamal, Abdul Ahad Sohail, Neelam Jawed Qureshi, Haseeb Ullah, Syed Shahabuddin, Mian Yasir Kamal

Open access · diamondAbstract read
In one paragraph

Article in Interdisciplinary cardiovascular and thoracic surgery, 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
0.3field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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 at 3 institutions in 1 country.

Mian Mustafa KamalDepartment of Cardiothoracic Surgery, Aga Khan University Hospital, Stadium Road, Karachi, Pakistan.ORCID 0000-0002-8153-0980
Abdul Ahad SohailDepartment of Cardiothoracic Surgery, Aga Khan University Hospital, Stadium Road, Karachi, Pakistan.ORCID 0000-0001-5830-3205
Neelam Jawed QureshiDepartment of Cardiothoracic Surgery, Aga Khan University Hospital, Stadium Road, Karachi, Pakistan.
Haseeb UllahRehman Medical College, Hayatabad, Peshawar, Khyber Pukhtoonkhwa, Pakistan.
Syed ShahabuddinDepartment of Cardiothoracic Surgery, Aga Khan University Hospital, Stadium Road, Karachi, Pakistan.
Mian Yasir KamalDepartment of Cardiology, Khyber Teaching Hospital, University Road, Peshawar, Khyber Pukhtoonkhwa, Pakistan.
Aga Khan University Hospital · PKKhyber Teaching Hospital · PKHayatabad Medical Complex · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional cardiac surgery residency programs rely mainly on teaching surgical skills in the operating room. The increasing complexity of cardiac surgical operations on high-risk patients and the time constraints placed on residents in this surgical discipline negatively impact the learning opportunities for those residents. Simulation models, though efficient, are very expensive. In Third World Countries, they are unavailable for trainees due to financial constraints. We have introduced an innovative and cost-effective way of simulating aortic root replacement in a wet laboratory by applying a hand-made valve conduit or 'pencil conduit' to a bovine heart. It is reproducible, easy to assemble, cost-effective and simple to use. It can help develop and enhance the surgical skills of residents and junior surgeons for this advanced operation, which requires a meticulous surgical technique performed within a limited time frame.

Identifiers

PMID37843447
PMCPMC10598581
OpenAlexW4387661254

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.