ArticleJournal of evaluation in clinical practice2022
Overtreatment: Is a solution possible?
Article in Journal of evaluation in clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 11 citations in OpenAlex.
- Contesting the C Word: The Diagnosis of DCIS and Women's Resistance Against Overtreatment.Sociology of health & illness · 2026Article
- Assessing the Alignment Between the Humpty Dumpty Fall Scale and Fall Risk Nursing Diagnosis in Pediatric Patients: A Retrospective ROC Curve Analysis.Healthcare (Basel, Switzerland) · 2025Article
- Overtreatment in colorectal cancer prevention: comparison between surgical and endoscopic treatment of benign colonic polyps.Therapeutic advances in gastroenterology · 2025Article
- Interdisciplinary behavioral health provider perceptions of implementing the Collaborative Chronic Care Model: an i-PARIHS-guided qualitative study.Implementation science communications · 2023Article
- Overtreatment: Is a solution possible?Journal of evaluation in clinical practice · 2022Article
- Philosophy and the clinic: Stigma, respect and shame.Journal of evaluation in clinical practice · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Screening is a useful tool for identifying potential health issues; however, it can also lead to overtreatment. Consequently, patients are sometimes harmed by unnecessary treatments and there are cost implications. Overtreatment can also occur in other areas of medicine besides screening and sometimes medical interventions are used to improve performance rather than to treat disease. In this paper, a distinction is made between the perspectives of the patient and the government. For patients, autonomy is important, and they can refuse life-saving treatments, assuming they have decision-making capacity. They can also choose to be treated to avoid a very small risk or to improve their performance. For a government with limited funds, it is important to focus on outcomes and fund those screening programmes and other medical interventions that can potentially save the most lives or prevent severe disability. Governments also have the power to legislate to enable a level playing field by prohibiting medications that improve performance, but there is no general consensus about this, and regulations can only be applied to specific, well-defined activities. The problem with overtreatment results from the different interests involved: autonomy is the guiding idea for patients and outcome is the guiding measure for societies. A general solution will not be possible because of these inherent conflicting interests. However, medical research may improve the identification and predictions surrounding any anomalies detected during scans and reduce the problem in practice for specific conditions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.