Evidence map›Paper›PMID 36497208›Full record

ArticleCancers2022

External Validation of the Individualized Prediction of Breast Cancer Survival (IPBS) Model for Estimating Survival after Surgery for Patients with Breast Cancer in Northern Thailand.

Thanapat Charumporn, Nutcha Jarupanich, Chanawin Rinthapon, Kantapit Meetham, Napat Pattayakornkul, Teerapant Taerujjirakul, Krittai Tanasombatkul, Chagkrit Ditsatham, Wilaiwan Chongruksut, Areerak Phanphaisarn and 2 more

Abstract read
In one paragraph

Article in Cancers, 2022. 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

12 authors.

Thanapat CharumpornDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Nutcha JarupanichCenter for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Chanawin RinthaponDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Kantapit MeethamDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Napat PattayakornkulDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Teerapant TaerujjirakulDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Krittai TanasombatkulDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0002-8052-8387
Chagkrit DitsathamDivision of Head, Neck, and Breast Surgery, Department of Surgery, Clinical Surgical Research Center, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Wilaiwan ChongruksutCenter for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Areerak PhanphaisarnDepartment of Orthopaedics, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Donsuk PongnikornVejjarak Lampang Hospital, Department of Medical Services, Ministry of Public Health, Lampang 52130, Thailand.ORCID 0000-0002-7993-9912
Phichayut PhinyoDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0002-8543-6254

Funding

Faculty of medicine, Chiang Mai University 091-2564
6 · The paper itself

Abstract

The individualized prediction of breast cancer survival (IPBS) model was recently developed. Although the model showed acceptable performance during derivation, its external performance remained unknown. This study aimed to validate the IPBS model using the data of breast cancer patients in Northern Thailand. An external validation study was conducted based on female patients with breast cancer who underwent surgery at Maharaj Nakorn Chiang Mai hospital from 2005 to 2015. Data on IPBS predictors were collected. The endpoints were 5-year overall survival (OS) and disease-free survival (DFS). The model performance was evaluated in terms of discrimination and calibration. Missing data were handled with multiple imputation. Of all 3581 eligible patients, 1868 were included. The 5-year OS and DFS were 85.2% and 81.9%. The IPBS model showed acceptable discrimination: C-statistics 0.706 to 0.728 for OS and 0.675 to 0.689 for DFS at 5 years. However, the IPBS model minimally overestimated both OS and DFS predictions. These overestimations were corrected after model recalibration. In this external validation study, the IPBS model exhibited good discriminative ability. Although it may provide minimal overestimation, recalibrating the model to the local context is a practical solution to improve the model calibration.

Indexed as

adultbreast neoplasmsfemaleprognosisstatistical models

Identifiers

PMID36497208
PMCPMC9737252

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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.