ArticlePloS one2021
Physicians payment in the United States between 2014 and 2018: An analysis of the CMS Open Payments database.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Trends in Industry-Sponsored Research Payments to Otolaryngologist Principal Investigators.The Laryngoscope · 2026Article
- When Zero Investment Does Not Mean Zero Financial Interest: Risks of Interpreting Ownership Data in Open Payments.Cureus · 2026Article
- Industry-Reported Financial Relationships Among American Ophthalmology Society Board Members.Clinical & experimental ophthalmology · 2026Article
- Key Indicators of Performance-Based Payment to Physicians by Insurance Organizations in Iran.Medical journal of the Islamic Republic of Iran · 2026Article
- Distribution of industry-sponsored research payments to US physician principal investigators.PloS one · 2026Observational
- Trends in Industry-Sponsored Research Payments to Physician Principal Investigators.JAMA network open · 2024Article
- Article
- The Association of Subspecialty and Sex with Industry Payments to Internal Medicine Physicians Who Recently Completed Training.Journal of general internal medicine · 2024Observational
- Characterizing industry payments to US teaching hospitals and affiliated physicians: a cross-sectional analysis of the Open Payments datasets from 2016 to 2022.Health affairs scholar · 2023Article
- Comparing pharmaceutical company payments in the four UK countries: a cross-sectional and social network analysis.BMJ open · 2023Article
- Pharmaceutical industry payments to NHS trusts in England: A four-year analysis of the Disclosure UK database.PloS one · 2023Article
- Trends and Characteristics of Industry Payments for Ophthalmology Research From 2014 to 2020.JAMA ophthalmology · 2022Article
- Trends in Industry Payments to Physicians in the First 6 Years After Graduate Medical Training.JAMA network open · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Open Payments database reports payments made to physicians by industry. Given the potential for financial conflicts of interest relating to patient outcomes, further scrutiny of these data is valuable. Therefore, the objective of this study was to analyze physician-industry relationships by specialty type, payment type, geospatial trend, and longitudinal trend between 2014-2018. We conducted an observational, retrospective data analysis of payments from the Open Payments database for licensed United States physicians listed in the National Plan & Provider Enumeration System (NPPES). Datasets from 2013-2018 were joined using the Python programming language. Aggregation and sub-setting by characteristics of interest was done in R to calculate means and frequencies of reported general physician payments from industry across different specialties, locations, timeframes, and payment types. Normalization was applied for numbers of physicians or payments. Geospatial statistical hot spot analysis was conducted in ArcGIS. 51.73 million payment records were analyzed. In total, 50,047,930 payments were issued to 771,113 allopathic or osteopathic physicians, representing $8,702,631,264 transferred from industry to physicians over the five-year period between 2014 and 2018. The mean payment amount was $179, with a standard deviation of $12,685. Variability in physicians' financial relationships with industry were apparent across specialties, regions, time, and payment type. A limited match rate between records in the NPPES and Open Payments databases may have resulted in selection bias of trends related to physician characteristics. Further research is necessary, particularly in the context of changing industry payment trends and public perceptions of the appropriateness of these relationships.
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