Evidence map›Paper›PMID 32099855›Full record

ArticleInternational journal of nursing sciences2020

A scoring system for predicting the risk of breast cancer-related lymphedema.

Fenglian Li, Qian Lu, Sanli Jin, Quanping Zhao, Xueying Qin, Shuai Jin, Lichuan Zhang

Abstract read
In one paragraph

Article in International journal of nursing sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Development and validation of a nomogram to predict the risk of breast cancer-related lymphedema among Chinese breast cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
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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

7 authors.

Fenglian LiDivision of Medical & Surgical Nursing, School of Nursing, Peking University, Beijing, China.
Qian LuDivision of Medical & Surgical Nursing, School of Nursing, Peking University, Beijing, China.
Sanli JinDivision of Medical & Surgical Nursing, School of Nursing, Peking University, Beijing, China.
Quanping ZhaoDepartment of Breast Surgery, Peking University People's Hospital, Beijing, China.
Xueying QinDepartment of Epidemiology and Bio-statistics, School of Public Health, Peking University, Beijing, China.
Shuai JinDivision of Medical & Surgical Nursing, School of Nursing, Peking University, Beijing, China.
Lichuan ZhangDivision of Medical & Surgical Nursing, School of Nursing, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to establish a scoring system to predict the risk of breast cancer-related lymphedema.

methodsFrom April 2017 to December 2018, 533 patients who previously underwent surgery for breast cancer were enrolled in this cross-sectional study. Univariate analysis was performed to explore and define the risk factors. A scoring system was then established on the basis of odds ratio values in the regression analysis.

resultsThe additive scoring system values ranged from 6 to 22. The receiver operating characteristic (ROC) curve of this scoring system showed a sensitivity and specificity of 83.3% and 57.3%, respectively, to predict the risk of lymphedema at a cut-off of 15.5 points; the area under the curve was 0.736 (95% confidence interval: 0.662-0.811), with

conclusionsThe predictive efficiency and accuracy of the scoring system were acceptable, and the system could be used to predict and screen groups at high risk for breast cancer-related lymphedema.

Indexed as

Breast cancer lymphedemaBreast neoplasmsChinaCross-sectional studiesLymphedemaRisk factorsROC curve

Identifiers

PMID32099855
PMCPMC7031125

What OpenQuestion holds

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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.