Evidence map›Paper›PMID 39772830›Full record

ArticleJCO precision oncology2025

Comparison of PREMM5 and PREMMplus Risk Assessment Models to Identify Lynch Syndrome.

Leah H Biller, Kate Mittendorf, Miki Horiguchi, Alyson Caruso, Anu Chittenden, Chinedu Ukaegbu, Hajime Uno, Sapna Syngal, Matthew B Yurgelun

Erratum issuedAbstract readComparative Study
In one paragraph

Article in JCO precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Leah H BillerDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0001-7386-7121
Kate MittendorfVanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN.ORCID 0000-0003-1097-9171
Miki HoriguchiDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-9800-1954
Alyson CarusoDana-Farber Cancer Institute, Boston, MA.ORCID 0009-0006-7093-5495
Anu ChittendenDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-7037-3430
Chinedu UkaegbuDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-1629-2824
Hajime UnoDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0003-0622-8471
Sapna SyngalDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0001-5487-7471
Matthew B YurgelunDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-6184-9273

Funding

Validation and extension of the PREMM Model for mismatch repair gene mutationsR01CA132829 · NCI · DANA-FARBER CANCER INST · PI SYNGAL, SAPNA · 2008 to 2022
$5.6M
Inclusion of Diverse and Medically Underserved Populations in the Design and Implementation of the PREMMplus Patient-Facing AppR01CA292900 · NCI · DANA-FARBER CANCER INST · PI SAPNA SYNGAL · 2024 to 2026
$3.6M
NCI NIH HHS R01 CA132829NCI NIH HHS R01 CA292900
6 · The paper itself

Abstract

purposeClinical risk assessment models can identify patients with hereditary cancer susceptibility, but it is unknown how multigene cancer syndrome prediction models compare with syndrome-specific models in assessing risk for individual syndromes such as Lynch syndrome (LS). Our aim was to compare PREMMplus (a 19-gene cancer risk prediction model) with PREMM5 (a LS gene-specific model) for LS identification.

methodsWe analyzed data from two cohorts of patients undergoing germline testing from a commercial laboratory (n = 12,020) and genetics clinic (n = 6,232) with personal and/or family histories of LS-associated cancer. Individual PREMMplus and PREMM5 scores were calculated for all patients. Using a score cutoff of

resultsPREMMplus had higher sensitivity than PREMM5 in the laboratory- (63.7% [95% CI, 57.0 to 70.0]

conclusionBoth PREMM5 and PREMMplus demonstrated high NPVs (>98%) in LS discrimination across all patient cohorts, and both models may be used to identify individuals at risk of LS. The choice of which model to use can be based on the goals of risk assessment and patient population.

Indexed as

Colorectal Neoplasms, Hereditary NonpolyposisAdultAgedCohort StudiesFemaleGenetic TestingHumansMaleMiddle AgedRisk Assessment

Identifiers

PMID39772830
PMCPMC11723481

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