Evidence map›Paper›PMID 35107713›Full record

ArticleBreast cancer research and treatment2022

Validation of a nomogram for predicting the risk of lymphedema following contemporary treatment for breast cancer: a large multi-institutional study (KROG 20-05).

Hwa Kyung Byun, Jae Sik Kim, Jee Suk Chang, Yeona Cho, Sung-Ja Ahn, Jung Han Yoon, Haeyoung Kim, Nalee Kim, Euncheol Choi, Hyeli Park and 8 more

Open access · greenAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Breast cancer research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

18 authors at 11 institutions in 1 country.

Hwa Kyung ByunDepartment of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.ORCID http://orcid.org/0000-0002-8964-6275
Jae Sik KimDepartment of Radiation Oncology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, South Korea.
Jee Suk ChangDepartment of Radiation Oncology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Yeona ChoDepartment of Radiation Oncology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Sung-Ja AhnDepartment of Radiation Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, South Korea.
Jung Han YoonDepartment of Surgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, South Korea.
Haeyoung KimDepartment of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Nalee KimDepartment of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Euncheol ChoiDepartment of Radiation Oncology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, South Korea.
Hyeli ParkDepartment of Radiation Oncology, Presbyterian Medical Center, Jeonju, South Korea.
Kyubo KimDepartment of Radiation Oncology, Ewha Womans University College of Medicine, Seoul, South Korea.
Shin-Hyung ParkDepartment of Radiation Oncology, School of Medicine, Kyungpook National University, Daegu, South Korea.
Chai Hong RimDepartment of Radiation Oncology, Korea University Medical College, Seoul, South Korea.
Hoon Sik ChoiDepartment of Radiation Oncology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, South Korea.
Yoon Kyeong OhDepartment of Radiation Oncology, Chosun University Medical School, Gwangju, South Korea.
Ik Jae LeeDepartment of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
Kyung Hwan ShinDepartment of Radiation Oncology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, South Korea. shin.kyunghwan@gmail.com.ORCID http://orcid.org/0000-0002-5852-7644
Yong Bae KimDepartment of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea. ybkim3@yuhs.ac.ORCID http://orcid.org/0000-0003-4884-2330
Yonsei University · KRChonnam National University Hwasun Hospital · KRSamsung Medical Center · KRSeoul National University Hospital · KRChangwon National University · KRChosun University · KREwha Womans University · KRKeimyung University · KRKorea University Medical Center · KRKyungpook National University · KRPresbyterian Medical Center · KR

Funding

Korea Food Research Institute E-0210400National Research Foundation of Korea 2021R1I1A1A0105963611
6 · The paper itself

Abstract

purposeWe previously constructed a nomogram for predicting the risk of arm lymphedema following contemporary breast cancer treatment. This nomogram should be validated in patients with different background characteristics before use. Therefore, we aimed to externally validate the nomogram in a large multi-institutional cohort.

methodsOverall, 8835 patients who underwent breast cancer surgery during 2007-2017 were identified. Data of variables in the nomogram and arm lymphedema were collected. The nomogram was validated externally using C-index and integrated area under the curve (iAUC) with 1000 bootstrap samples and by calibration plots.

resultsOverall, 1377 patients (15.6%) developed lymphedema. The median time from surgery to lymphedema development was 11.4 months. Lymphedema rates at 2, 3, and 5 years were 11.2%, 13.1%, and 15.6%, respectively. Patients with lymphedema had significantly higher body mass index (median, 24.1 kg/m

conclusionThis nomogram, which was developed using factors related to multimodal breast cancer treatment and was validated in a large multi-institutional cohort, can well predict the risk of breast cancer-related lymphedema.

Indexed as

Breast NeoplasmsLymphedemaFemaleHumansMastectomyNomogramsRisk FactorsBreast cancerContemporary treatmentLymphedemaNomogram

Identifiers

PMID35107713
OpenAlexW4210406788

What OpenQuestion holds

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Read underepoch 390

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.