Evidence map›Paper›PMID 31693739›Full record

ArticleBioscience reports2019

Development and validation of nomogram combining serum biomarker for predicting survival in patients with resected rectal cancer.

Shaonan Fan, Ting Li, Ping Zhou, Qiliang Peng, Yaqun Zhu

Abstract read
In one paragraph

Article in Bioscience reports, 2019. 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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  7. Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study.International journal of environmental research and public health · 2021
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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

5 authors.

Shaonan FanDepartment of Radiation Oncology, Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Ting LiDepartment of Radiation Oncology, Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Ping ZhouDepartment of Radiation Oncology, Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Qiliang PengDepartment of Radiation Oncology, Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Yaqun ZhuDepartment of Radiation Oncology, Second Affiliated Hospital of Soochow University, Suzhou 215004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNomogram is a widely used tool that precisely predicts individualized cancer prognoses. We aimed to develop and validate a reliable nomogram including serum tumor biomarkers to predict individual overall survival (OS) for patients with resected rectal cancer (RC) and compare the predictive value with the American Joint Committee on Cancer (AJCC) stages. PATIENTS AND

methodsWe analyzed 520 patients who were diagnosed with non-metastatic rectal cancer as training cohort. External validation was performed in a cohort of 11851 patients from the Surveillance, Epidemiology, and End Results (SEER) database. Independent prognostic factors were identified and integrated to build a nomogram using the Cox proportional hazard regression model. The nomogram was evaluated by Harrell's concordance index (C-index) and calibration plots in both training and validation cohort.

resultsThe calibration curves for probability of 1-, 3-, and 5-year OS in both cohorts showed favorable accordance between the nomogram prediction and the actual observation. The C-indices of the nomograms to predict OS were 0.71 in training cohort and 0.69 in the SEER cohort, which were higher than that of the seventh edition American Joint Committee on Cancer TNM staging system for predicting OS (training cohort, 0.71 vs. 0.58, respectively; P-value < 0.001; validation cohort, 0.69 vs. 0.57, respectively; P-value < 0.001).

conclusionWe developed and validated a novel nomogram based on CEA and other factors for predicting OS in patients with resected RC, which could assist clinical decision making and improvement of prognosis prediction for individual RC patients after surgery.

Indexed as

Age FactorsBiomarkersCohort StudiesFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm StagingNomogramsPrognosisProportional Hazards ModelsRectal NeoplasmsRisk FactorsSEER ProgramBiomarkersCEAcolorectal cancerNomogramoverall survival

Identifiers

PMID31693739
PMCPMC6851506

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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.