Evidence map›Paper›PMID 39432215›Full record

ArticleJournal of general internal medicine2025

Sutton's Law: A Lesson in Decision-Analysis from the Past…and Present.

David A Nardone

Abstract readHistorical Article
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Article in Journal of general internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

1 author.

David A NardoneSchool of Medicine, Oregon Health & Science University, Portland, OR, USA. danardone@icloud.com.ORCID 0000-0002-2506-1550

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 1960, Dr. William Dock, visiting professor at Yale, discussed the case of a young girl with an unknown liver disease. Dock recommended biopsy, invoking bank robber Willie Sutton's words "that's where the money is." Drs. Petersdorf and Beeson, in attendance that day, included the following in their 1961 publication on fever of unexplained origin, "We are indebted to Dr. William Dock for the term Sutton's Law. It recommends proceeding immediately to the diagnostic test most likely to provide a diagnosis, and deplores the tendency to carry out a battery of 'routine' examinations in conventional sequence." Thereafter, Sutton's Law became an acclaimed aphorism advocating pursuit of tissue, because of its specificity for achieving diagnostic certainty. However, its popularity was fleeting, as formal medical decision-analysis (FMDA) became the standard. In the 1940s and 1950s, pioneers in the field laid the groundwork, and by the 1980s, clinician researchers had introduced the science into everyday clinical practice. The original version of Sutton's Law neglected the reality that FMDA is more than specificity, tissue, and absolute certainty. The newer version encourages clinicians to employ and prioritize their "routine" interview questions, physical examination assessments, and laboratory tests that provide clarity to differentiate between disease and no disease, to influence favorably the patient's management, and to discard those evaluations more likely to provide misleading results. Dock, Petersdorf, and Beeson may not have spoken the language of FMDA, but they were adept at applying its principles. Without them, and the unknown medical student who made the diagnosis of schistosomiasis, there would be no Sutton's Law. For many, it is an obsolete and apocryphal aphorism valuable solely for touting the importance of specificity in tissue diagnosis. For others, it has evolved, remaining relevant as an authentic lesson in decision-analysis, past and present.

Indexed as

Clinical Decision-MakingDecision Support TechniquesFemaleHistory, 20th CenturyHumansaphorismsclinical problem-solvingformal medical decision-analysismaximsSutton’s Law

Identifiers

PMID39432215
PMCPMC11802935

What OpenQuestion holds

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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.