Evidence map›Paper›PMID 33148775›Full record

ArticleJournal of medical ethics2021

Pre-diabetes in the elderly and the see-saw model of paternalism.

Patrick Burch, Soren Holm

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical ethics, 2021. 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
1.1field-weighted citation impact, top 20% of its field
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, 12 citations in OpenAlex.

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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

2 authors at 2 institutions in 2 countries.

Patrick BurchCentre for Primary Care, The University of Manchester, Manchester, UK patrick.burch@manchester.ac.uk.ORCID 0000-0001-5439-8454
Soren HolmCentre for Social Ethics and Policy, School of Law, University of Manchester, Manchester, UK.ORCID 0000-0002-7200-5607
Manchester Academic Health Science Centre · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pre-diabetes is a risk factor for the development of diabetes, not a disease in its own right. The prevalence increases with age and reaches nearly 50% of those aged over 75 years in the USA. While lifestyle modification and treatment are likely to benefit those with many years of life ahead of them, they are unlikely to benefit patients with a limited life expectancy. Despite this, some very elderly patients in the UK and elsewhere are being labelled as pre-diabetic. While ideal practice would be to carefully consider the impact of any potentially abnormal blood test before it is taken, this is not always possible in routine practice. In this paper, we discuss a pragmatic, ethical approach for clinicians managing pre-diabetic blood tests in very elderly patients. We argue that a 'see-saw' model of paternalism should be used in deciding which patients to inform that they can be labelled as pre-diabetic. Those patients that may benefit from the label should be informed, and those that will not, should not. Where the benefits/drawbacks are unclear, the result and its potential significance should be discussed in depth with the individual patient. We do not advocate withholding information from any patient. Instead we suggest clinicians use individual patient circumstances to contextualise the relevance of pre-diabetes to the patient and consider the benefits and drawbacks before informing them. This approach has the potential to be used for other pre-conditions and risk factors in addition to pre-diabetes.

Indexed as

Prediabetic StateAgedHumansPaternalismPatientsPersonal AutonomyRisk Factorsagedapplied and professional ethicsclinical ethicspaternalismprimary care

Identifiers

PMID33148775
PMCPMC8562306
OpenAlexW3094690954

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.