Evidence mapPaperPMID 39352280Full record

ArticleRadiology2024

Academic Radiology Physician Financial Compensation in the United States: Trends and Distribution.

Ajay Malhotra, Dheeman Futela, Rudra Joshi, Mihir Khunte, Nagaraj S Moily, Xiao Wu, Seyedmehdi Payabvash, Max Wintermark, Dheeraj Gandhi

Abstract read
In one paragraph

Article in Radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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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

9 authors.

Ajay MalhotraFrom the Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar St, Tompkins East 2, Box 208042, New Haven, CT 06520-8042 (A.M., D.F., R.J., M.K., S.P.); Visage Imaging, San Diego, Calif (N.S.M.); Department of Radiology, University of California at San Francisco, San Fracisco, Calif (X.W.); Department of Radiology, Stanford University, Stanford, Calif (M.W.); and Department of Radiology, Nuclear Medicine, Neurology and Neurosurgery, University of Maryland School of Medicine, Baltimore, Md (D.G.).ORCID 0000-0001-9223-6640
Dheeman FutelaFrom the Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar St, Tompkins East 2, Box 208042, New Haven, CT 06520-8042 (A.M., D.F., R.J., M.K., S.P.); Visage Imaging, San Diego, Calif (N.S.M.); Department of Radiology, University of California at San Francisco, San Fracisco, Calif (X.W.); Department of Radiology, Stanford University, Stanford, Calif (M.W.); and Department of Radiology, Nuclear Medicine, Neurology and Neurosurgery, University of Maryland School of Medicine, Baltimore, Md (D.G.).ORCID 0000-0003-0073-375X
Rudra JoshiFrom the Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar St, Tompkins East 2, Box 208042, New Haven, CT 06520-8042 (A.M., D.F., R.J., M.K., S.P.); Visage Imaging, San Diego, Calif (N.S.M.); Department of Radiology, University of California at San Francisco, San Fracisco, Calif (X.W.); Department of Radiology, Stanford University, Stanford, Calif (M.W.); and Department of Radiology, Nuclear Medicine, Neurology and Neurosurgery, University of Maryland School of Medicine, Baltimore, Md (D.G.).ORCID 0009-0004-2964-2186
Mihir KhunteFrom the Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar St, Tompkins East 2, Box 208042, New Haven, CT 06520-8042 (A.M., D.F., R.J., M.K., S.P.); Visage Imaging, San Diego, Calif (N.S.M.); Department of Radiology, University of California at San Francisco, San Fracisco, Calif (X.W.); Department of Radiology, Stanford University, Stanford, Calif (M.W.); and Department of Radiology, Nuclear Medicine, Neurology and Neurosurgery, University of Maryland School of Medicine, Baltimore, Md (D.G.).ORCID 0000-0003-2995-3203
Nagaraj S MoilyFrom the Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar St, Tompkins East 2, Box 208042, New Haven, CT 06520-8042 (A.M., D.F., R.J., M.K., S.P.); Visage Imaging, San Diego, Calif (N.S.M.); Department of Radiology, University of California at San Francisco, San Fracisco, Calif (X.W.); Department of Radiology, Stanford University, Stanford, Calif (M.W.); and Department of Radiology, Nuclear Medicine, Neurology and Neurosurgery, University of Maryland School of Medicine, Baltimore, Md (D.G.).
Xiao WuFrom the Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar St, Tompkins East 2, Box 208042, New Haven, CT 06520-8042 (A.M., D.F., R.J., M.K., S.P.); Visage Imaging, San Diego, Calif (N.S.M.); Department of Radiology, University of California at San Francisco, San Fracisco, Calif (X.W.); Department of Radiology, Stanford University, Stanford, Calif (M.W.); and Department of Radiology, Nuclear Medicine, Neurology and Neurosurgery, University of Maryland School of Medicine, Baltimore, Md (D.G.).ORCID 0000-0002-2679-7447
Seyedmehdi PayabvashFrom the Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar St, Tompkins East 2, Box 208042, New Haven, CT 06520-8042 (A.M., D.F., R.J., M.K., S.P.); Visage Imaging, San Diego, Calif (N.S.M.); Department of Radiology, University of California at San Francisco, San Fracisco, Calif (X.W.); Department of Radiology, Stanford University, Stanford, Calif (M.W.); and Department of Radiology, Nuclear Medicine, Neurology and Neurosurgery, University of Maryland School of Medicine, Baltimore, Md (D.G.).ORCID 0000-0003-4628-0370
Max WintermarkFrom the Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar St, Tompkins East 2, Box 208042, New Haven, CT 06520-8042 (A.M., D.F., R.J., M.K., S.P.); Visage Imaging, San Diego, Calif (N.S.M.); Department of Radiology, University of California at San Francisco, San Fracisco, Calif (X.W.); Department of Radiology, Stanford University, Stanford, Calif (M.W.); and Department of Radiology, Nuclear Medicine, Neurology and Neurosurgery, University of Maryland School of Medicine, Baltimore, Md (D.G.).ORCID 0000-0002-6726-3951
Dheeraj GandhiFrom the Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar St, Tompkins East 2, Box 208042, New Haven, CT 06520-8042 (A.M., D.F., R.J., M.K., S.P.); Visage Imaging, San Diego, Calif (N.S.M.); Department of Radiology, University of California at San Francisco, San Fracisco, Calif (X.W.); Department of Radiology, Stanford University, Stanford, Calif (M.W.); and Department of Radiology, Nuclear Medicine, Neurology and Neurosurgery, University of Maryland School of Medicine, Baltimore, Md (D.G.).ORCID 0000-0001-6741-5970

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Radiomics Signatures and Patient Outcomes in Intracerebral HemorrhageK23NS118056 · NINDS · YALE UNIVERSITY · PI Seyedmehdi Payabvash · 2021 to 2026
$780k
NCATS NIH HHS UL1 TR001863NINDS NIH HHS K23 NS118056
6 · The paper itself

Abstract

Background The overall trends in academic radiology physician compensation are not well studied. Purpose To assess recent trends in academic radiology financial compensation and distribution based on rank, gender, race/ethnicity, and geography in U.S. medical schools. Materials and Methods This secondary analysis used deidentified data from the Association of American Medical Colleges (AAMC) Faculty Salary Report, which collects information for full-time faculty at U.S. medical schools. Financial compensation data for full-time academic radiology faculty was collected from 2017 to 2023, stratified by rank, gender, race/ethnicity, and geography. The faculty salary report includes median, 25th, and 75th percentile compensation values for each rank, which were used to analyze trends with linear regression. Median compensation values were used to compare groups based on gender, race/ethnicity, and region. Results The AAMC Faculty Salary Report data for 2023 included responses for 5847 faculty members across all radiology departments, including 306 instructors, 2758 assistant professors, 1409 associate professors, 1004 full professors, 226 chiefs, and 144 chairs. On average, median faculty compensation increased by 2.6%-4.4% per year from 2017 to 2023, with the greatest increase (by 4.4% per year) at the instructor level and smaller increases (3.4%-2.6%) at the more senior ranks. Male faculty members were consistently compensated more than women at all ranks throughout the study period. The overall salary gap remained at 6% ($455 000 for women vs $483 000 for men) throughout the study period but increased numerically from $24 000 in 2019 to $28 000 in 2023. Black/African American faculty had a lower median compensation compared with White faculty (by 4% overall; $452 000 for Black/African American faculty vs $472 000 for White faculty) at all ranks except at professor rank. Instructor compensation in the Northeast region was substantially higher (by $278 000) than other regions, but this geographic differential did not exceed $35 000 at other ranks. Conclusion This study summarized the trends of full-time academic radiology faculty compensation and showed persistent salary inequities that should be addressed as part of a broader drive to increase diversity, equity, and inclusion. © RSNA, 2024

Indexed as

Faculty, MedicalSalaries and Fringe BenefitsAcademic Medical CentersFemaleHumansMaleRadiologyUnited States

Identifiers

PMID39352280
PMCPMC11535871

What Socratic 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 Socratic graph.