Evidence map›Paper›PMID 36213254›Full record

ArticleOrthopedic reviews2022

Educational demographics of orthopaedic surgery department chairs.

Sean C Clark, Cadence Miskimin, Mary K Mulcahey

Abstract read
In one paragraph

Article in Orthopedic reviews, 2022. 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

3 authors.

Sean C ClarkTulane University School of Medicine.
Cadence MiskiminDepartment of Orthopaedic Surgery, Tulane University School of Medicine.
Mary K MulcaheyDepartment of Orthopaedic Surgery, Tulane University School of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Becoming chair of an academic clinical department is a tremendous achievement that takes many years of experience and clinical excellence. Objective: The purpose of this study was to determine the educational demographics of current orthopaedic surgery department chairs in the United States. Methods: A complete list of orthopaedic surgery residency programs was obtained from the Accreditation Council for Graduate Medical Education (ACGME) 2019-2020 list of residency programs. Department chairs were identified through an online search. Educational data, including where the department chair went to medical school, residency, fellowship, and type of fellowship completed were obtained. Results: A total of 145 orthopaedic department chairs were identified. The most attended medical schools by department chairs were Baylor (6 of 145, 4.1%) and Northwestern (6 of 145, 4.1%). The University of Rochester was the most common orthopaedic residency attended (9 of 145, 6.2%) and Harvard was the most common orthopaedic clinical fellowship (20 of 133, 15.0%). On average, it took 17.9 years from completion of clinical training to being named department chair. Conclusion: This study provides insight into the academic credentials, length of clinical experience, and research productivity of current orthopaedic surgery department chairs. Certain training programs may be more likely to produce department chairs and, in general, an orthopaedic surgeon is more likely to become chair at an institution where he/she previously trained. Finally, research productivity is clearly an important factor in becoming chair, as most chairs have high h-indices and a consistent track record of research excellence.

Indexed as

department chairfellowshipmedical schoolorthopaedic surgeryresidency

Identifiers

PMID36213254
PMCPMC9540437

What OpenQuestion holds

Textmetadata
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.