Evidence map›Paper›PMID 41947922›Full record

ReviewJB & JS open access

Surgical Case Logging-Orthopaedic Application: A Narrative Review of Methods, Evolution, and Future Direction.

Ala Alshomali, Mark Ehioghae, Sean Bae, Jonathan P Japa, Aaron Phung, Noorullah Maqsoodi, Kevin Yoon, Justin Hyde, Jamie Lee, Addisu Mesfin

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in JB & JS open access. 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

10 authors.

Ala AlshomaliGeorgetown University School of Medicine, Washington, District of Columbia.ORCID https://orcid.org/0009-0000-4798-2580
Mark EhioghaeMedStar, Washington Hospital Center, Washington, District of Columbia.ORCID https://orcid.org/0000-0002-8579-2953
Sean BaeGeorgetown University School of Medicine, Washington, District of Columbia.ORCID https://orcid.org/0009-0000-4644-4748
Jonathan P JapaMedStar, Washington Hospital Center, Washington, District of Columbia.ORCID https://orcid.org/0009-0007-8723-7682
Aaron PhungGeorgetown University School of Medicine, Washington, District of Columbia.
Noorullah MaqsoodiDepartment of Orthopedic Surgery, Boston Medical Center Chobanian & Avedisian School of Medicine, Boston, Massachusetts.
Kevin YoonMedStar, Washington Hospital Center, Washington, District of Columbia.ORCID https://orcid.org/0009-0003-9367-4214
Justin HydeGeorgetown University School of Medicine, Washington, District of Columbia.ORCID https://orcid.org/0009-0008-3094-1393
Jamie LeeGeorgetown University School of Medicine, Washington, District of Columbia.ORCID https://orcid.org/0009-0001-4042-0750
Addisu MesfinGeorgetown University School of Medicine, Washington, District of Columbia.ORCID https://orcid.org/0000-0003-0076-4185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

» Surgical case logs remain vital yet imperfect, often emphasizing volume over competency, and allowing data entry and coding inconsistencies. » Lack of standardization across programs limits comparability and weakens the role of logs as true surgical competency measures. » Case volume alone may not reflect surgical skill or autonomy, even among trainees meeting ACGME minimums. » Emerging AI, EHR integration, and intraoperative analytics promise more accurate, efficient, and educationally valuable logging. » The future is competency-based, linking procedural data with autonomy, complexity, and outcomes to better gauge readiness for independent practice.

Identifiers

PMID41947922
PMCPMC13052930

What OpenQuestion holds

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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.