Evidence map›Paper›PMID 41598558›Full record

ArticleJournal of clinical medicine2026

Learning Curve of Cardiac Surgery Residents in Transit-Time Flow Measurement and High-Resolution Epicardial Ultrasonography During Coronary Surgery.

Federico Cammertoni, Gabriele Di Giammarco, Nicola Testa, Natalia Pavone, Alberta Marcolini, Serena D'Avino, Piergiorgio Bruno, Maria Grandinetti, Francesco Bianchini, Antonio E Trapani and 1 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2026. 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

11 authors.

Federico CammertoniDepartment of Cardiovascular Sciences, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy.ORCID 0000-0001-5982-7270
Gabriele Di GiammarcoDepartment of Neuroscience, Imaging and Clinical Science, School of Medicine and Health Science, Università "G. D'Annunzio" Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0002-9940-9847
Nicola TestaDepartment of Cardiovascular Sciences, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy.ORCID 0000-0003-1329-5031
Natalia PavoneDepartment of Cardiovascular Sciences, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy.
Alberta MarcoliniDepartment of Cardiovascular Sciences, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy.
Serena D'AvinoDepartment of Cardiovascular Sciences, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy.
Piergiorgio BrunoDepartment of Cardiovascular Sciences, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy.
Maria GrandinettiDepartment of Cardiovascular Sciences, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy.
Francesco BianchiniDepartment of Cardiovascular Sciences, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy.
Antonio E TrapaniFaculty of Medicine and Surgery, Catholic University of Sacred Heart, 00168 Rome, Italy.ORCID 0009-0009-9844-6812
Massimo MassettiDepartment of Cardiovascular Sciences, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy.ORCID 0000-0002-7100-8478

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

cardiac surgical procedures/educationcoronary artery bypassintraoperative care/methodslearning curvephysiciansresidents/educationultrasonography/methods

Identifiers

PMID41598558
PMCPMC12842005

What OpenQuestion holds

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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.