Evidence map›Paper›PMID 37057688›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Is It Time to Expand Our Definition of "Clinical Utility"?

Steven Sorscher

Abstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. 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

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

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.

Steven SorscherWake Forest School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0001-7408-0646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, genetic tests that predict cancer risk or risk of recurrence in patients who have had their cancer treated with curative intent must have proven "clinical utility" to be recommended by the organizations responsible for publishing the standard-of-care guidelines for cancer care.Based on the current definition of clinical utility, most patients are denied testing for cancer-predisposing genes or pathogenic germline variants even though germline testing has been proven as highly accurate in identifying pathogenic germline variant carriers, there are measures recommended to prevent and diagnose early cancers associated with particular PGVs, and disparities in patient access to genetic tests are well described.Similarly, despite dozens of studies demonstrating that detected circulating tumor DNA (ctDNA) after curative intention therapy of different cancer types is a highly accurate biomarker that predicts recurrence, the major organizations that publish guidelines for cancer monitoring after curative intention therapy recommend against using ctDNA assays to detect minimal residual disease and thereby predict recurrence for all solid tumor malignancies.Here, the primary reasons that these genetic tests are considered to lack proven clinical utility and the primary evidence suggesting that a broader definition of clinical utility should be considered are discussed. By expanding the definition of clinical utility, many patients will benefit from the information gained from having these genetic tests.

Indexed as

Early Detection of CancerGenetic Predisposition to DiseaseGenetic TestingNeoplasm Recurrence, LocalNeoplasmsPatient Access to RecordsCirculating Tumor DNAEvidence-Based PracticeGerm-Line MutationHumansNeoplasm, ResidualPatient SatisfactionPractice Guidelines as TopicPrecision MedicineRiskStandard of CareCirculating Tumor DNAbiomarkercancer guidelinescirculating tumor Deoxyribonucleic acidclinical utilitygenetic testing

Identifiers

PMID37057688
PMCPMC10108406

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Registered trials

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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.