ArticleBMC medical ethics2020
An ethics analysis of the rationale for publicly funded plastic surgery.
Article in BMC medical ethics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled 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.
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
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Undergraduate deficits in plastic surgery exposure and awareness of the specialty: a systematic review.Annals of the Royal College of Surgeons of England · 2025Pooled it
- A systematic review and meta-analysis of risks and benefits with breast reduction in the public healthcare system: priorities for further research.BMC surgery · 2021Pooled it
- Psychometric benefits of adding bolt-ons to the EQ-5D-5L in populations undergoing minimally invasive cosmetic procedures.The European journal of health economics : HEPAC : health economics in prevention and care · 2025Article
- Ethical Considerations Regarding Financial Incentives in Plastic Surgery-Related Health Research.Plastic surgery (Oakville, Ont.) · 2024Review
- Swedish Normative Scores for the BREAST-Q Reduction/Mastopexy Module.Aesthetic plastic surgery · 2023Article
- Retrospective comparative cohort study of neovagina creation by modified Vecchietti-laparoendoscopic single-site surgery for Mayer-Rokitansky-Küster-Hauser syndrome.Annals of translational medicine · 2022Article
- The STEP 1 trial for weight loss: a step change in treating obesity?Nature medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealthcare systems are increasingly struggling with resource constraints, given demographic changes, technological development, and citizen expectations. The aim of this article is to normatively analyze different suggestions regarding how publicly financed plastic surgery should be delineated in order to identify a well-considered, normative rationale. The scope of the article is to discuss general principles and not define specific conditions or domains of plastic surgery that should be treated within the publicly financed system.
methodsThis analysis uses a reflective equilibrium approach, according to which considered normative judgements in one area should be logically and argumentatively coherent with considered normative judgements and background theories at large within a system. RESULTS AND
conclusionsIn exploring functional versus non-function conditions, we argue that it is difficult to find a principled reason for an absolute priority of functional conditions over non-functional conditions. Nevertheless, functional conditions are relatively easier to establish objectively, and surgical intervention has a clear causal effect on treating a functional condition. Considering non-functional conditions that require plastic surgery [i.e., those related to appearance or symptomatic conditions (not affecting function)], we argue that the patient needs to experience some degree of suffering (and not only a preference for plastic surgery), which must be 'validated' in some form by the healthcare system. This validation is required for both functional and non-functional conditions. Functional conditions are validated by distinguishing between statistically normal and abnormal functioning. Similarly, for non-functional conditions, statistical normality represents a potential method for distinguishing between what should and should not be publicly funded. However, we acknowledge that such a concept requires further development.
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