Evidence map›Paper›PMID 26044159›Full record

ArticleCancer research and treatment2016

Validation of Prediction Models for Mismatch Repair Gene Mutations in Koreans.

Soo Young Lee, Duck-Woo Kim, Young-Kyoung Shin, Myong Hoon Ihn, Sung Min Lee, Heung-Kwon Oh, Ja-Lok Ku, Seung-Yong Jeong, Jae Bong Lee, Soyeon Ahn and 2 more

Open access · hybridAbstract readValidation Study
In one paragraph

Article in Cancer research and treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Prevalence and spectrum ofHereditary cancer in clinical practice · 2019
    Article
  2. Article
  3. Review
  4. 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

12 authors at 3 institutions in 1 country.

Soo Young LeeDepartment of Surgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.
Duck-Woo KimDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Korea.
Young-Kyoung ShinKorean Hereditary Tumor Registry, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Myong Hoon IhnDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Korea.
Sung Min LeeDepartment of Surgery, Chung Hospital, Seongnam, Korea.
Heung-Kwon OhDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Korea.
Ja-Lok KuKorean Hereditary Tumor Registry, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Seung-Yong JeongKorean Hereditary Tumor Registry, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Jae Bong LeeMedical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Korea.
Soyeon AhnMedical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Korea.
Sungho WonDepartment of Public Health Science, Seoul National University, Seoul, Korea.
Sung-Bum KangDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Korea.
Seoul National University · KRSeoul National University Bundang Hospital · KRChung-Ang University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLynch syndrome, the commonest hereditary colorectal cancer syndrome, is caused by germline mutations in mismatch repair (MMR) genes. Three recently developed prediction models for MMR gene mutations based on family history and clinical features (MMRPredict, PREMM(1,2,6), and MMRPro) have been validated only in Western countries. In this study, we propose validating these prediction models in the Korean population. MATERIALS AND

methodsWe collected MMR gene analysis data from 188 individuals in the Korean Hereditary Tumor Registry. The probability of gene mutation was calculated using three prediction models, and the overall diagnostic value of each model compared using receiver operator characteristic (ROC) curves and area under the ROC curve (AUC). Quantitative test characteristics were calculated at sensitivities of 90%, 95%, and 98%.

resultsOf the individuals analyzed, 101 satisfied Amsterdam criteria II, and 87 were suspected hereditary nonpolyposis colorectal cancer. MMR mutations were identified in 62 of the 188 subjects (33.0%). All three prediction models showed a poor predictive value of AUC (MMRPredict, 0.683; PREMM(1,2,6), 0.709; MMRPro, 0.590). Within the range of acceptable sensitivity (> 90%), PREMM(1,2,6) demonstrated higher specificity than the other models.

conclusionIn the Korean population, overall predictive values of the three models (MMRPredict, PREMM(1,2,6), MMRPro) for MMR gene mutations are poor, compared with their performance in Western populations. A new prediction model is therefore required for the Korean population to detect MMR mutation carriers, reflecting ethnic differences in genotype-phenotype associations.

Indexed as

DNA Mismatch RepairModels, GeneticMutationArea Under CurveColorectal Neoplasms, Hereditary NonpolyposisGerm-Line MutationHumansSensitivity and SpecificityGenetic testingHereditary nonpolyposis colorectal neoplasmsMismatch repair genePrediction model

Identifiers

PMID26044159
PMCPMC4843726
OpenAlexW655312410

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.