Evidence map›Paper›PMID 29216710›Full record

ArticleCancer research and treatment2018

A Novel Prognostic Nomogram for Predicting Risks of Distant Failure in Patients with Invasive Breast Cancer Following Postoperative Adjuvant Radiotherapy.

Yu Jin Lim, Sea-Won Lee, Noorie Choi, Jeanny Kwon, Keun-Yong Eom, Eunyoung Kang, Eun-Kyu Kim, Jee Hyun Kim, Yu Jung Kim, Se Hyun Kim and 2 more

Abstract read
In one paragraph

Article in Cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  5. Five-year survival in luminal breast cancer patients: relation with intratumoral activity of proteasomes.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2022
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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

12 authors.

Yu Jin LimDepartment of Radiation Oncology, Seoul National University Bundang Hospital, Seongnam, Korea.
Sea-Won LeeDepartment of Radiation Oncology, Seoul National University Bundang Hospital, Seongnam, Korea.
Noorie ChoiDepartment of Radiation Oncology, Seoul National University Bundang Hospital, Seongnam, Korea.
Jeanny KwonDepartment of Radiation Oncology, Seoul National University Bundang Hospital, Seongnam, Korea.
Keun-Yong EomDepartment of Radiation Oncology, Seoul National University Bundang Hospital, Seongnam, Korea.
Eunyoung KangBreast Care Center, Seoul National University Bundang Hospital, Seoul National College of Medicine, Seongnam, Korea.
Eun-Kyu KimBreast Care Center, Seoul National University Bundang Hospital, Seoul National College of Medicine, Seongnam, Korea.
Jee Hyun KimBreast Care Center, Seoul National University Bundang Hospital, Seoul National College of Medicine, Seongnam, Korea.
Yu Jung KimBreast Care Center, Seoul National University Bundang Hospital, Seoul National College of Medicine, Seongnam, Korea.
Se Hyun KimBreast Care Center, Seoul National University Bundang Hospital, Seoul National College of Medicine, Seongnam, Korea.
So Yeon ParkBreast Care Center, Seoul National University Bundang Hospital, Seoul National College of Medicine, Seongnam, Korea.
In Ah KimDepartment of Radiation Oncology, Seoul National University Bundang Hospital, Seongnam, Korea.

Funding

Ministry of Science and Information & Communication Technology 2017M2A2A7A01018438Ministry of Science and Information & Communication Technology 2017R1A2B4002710
6 · The paper itself

Abstract

purposeThis study aimed to identify predictors for distant metastatic behavior and build a related prognostic nomogram in breast cancer. MATERIALS AND

methodsA total of 1,181 patients with non-metastatic breast cancer between 2003 and 2011 were analyzed. To predict the probability of distant metastasis, a nomogram was constructed based on prognostic factors identified using a Cox proportional hazards model.

resultsThe 7-year overall survival and 5-year post-progression survival of locoregional versus distant recurrence groups were 67.6% versus 39.1% (p=0.027) and 54.2% versus 33.5% (p=0.043), respectively. Patients who developed distant metastasis showed early and late mortality risk peaks within 3 and after 5 years of follow-up, respectively, but a broad and low risk increment was observed in other patients with locoregional relapse. In multivariate analysis of distant metastasis-free interval, age (≥ 45 years vs. < 45 years), molecular subtypes (luminal A vs. luminal B, human epidermal growth receptor 2, and triple negative), T category (T1 vs. T2-3 and T4), and N category (N0 vs. N1 and N2-3) were independently associated (p < 0.05 for all). Regarding the significant factors, a well-validated nomogram was established (concordance index, 0.812). The risk score level of patients with initial brain failure was higher than those of non-brain sites (p=0.029).

conclusionThe nomogram could be useful for predicting the individual probability of distant recurrence in breast cancer. In high-risk patients based on the risk scores, more aggressive systemic therapy and closer surveillance for metastatic failure should be considered.

Indexed as

NomogramsBreast NeoplasmsFemaleHumansNeoplasm InvasivenessNeoplasm MetastasisNeoplasm Recurrence, LocalNeoplasm StagingPrognosisProportional Hazards ModelsRadiotherapy, AdjuvantAdjuvant radiotherapyBreast neoplasmsNeoplasm metastasisNomogramPrognosis

Identifiers

PMID29216710
PMCPMC6192903

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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.