Evidence map›Paper›PMID 34360026›Full record

ArticleInternational journal of environmental research and public health2021

Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study.

Nasrin Borumandnia, Hassan Doosti, Amirhossein Jalali, Soheila Khodakarim, Jamshid Yazdani Charati, Mohamad Amin Pourhoseingholi, Atefeh Talebi, Shahram Agah

Registry-linked trialAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06268379 (Developing a Clinician-friendly Online Tool for Survival Prediction in Colon Cancer Patients), which is not on this 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.

NCT06268379 completednot on this map

Developing a Clinician-friendly Online Tool for Survival Prediction in Colon Cancer Patients: A Bayesian Model Averaging for Risk Factor Selection and Dynamic Nomogram

Typeobservational_patient_registrySponsorCabrini HealthRan2010 to 2021Enrolled2,475ConditionsColon Cancer, Model DiseaseArmsSurgery
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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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

8 authors.

Nasrin BorumandniaUrology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran 1666663111, Iran.
Hassan DoostiDepartment of Mathematics and Statistics, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0002-0290-8122
Amirhossein JalaliSchool of Mathematical Sciences, University College Cork, T12 XF62 Cork, Ireland.
Soheila KhodakarimDepartment of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz 7188614228, Iran.
Jamshid Yazdani CharatiHealth Sciences Research Center, Biostatistics Department, Addiction Institute, School of Public Health, Mazandaran University of Medical Sciences, Sari 1353447416, Iran.
Mohamad Amin PourhoseingholiGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Disease, Shahid Beheshti University of Medical Sciences, Tehran 1985717413, Iran.
Atefeh TalebiColorectal Research Center, Iran University of Medical Center, Tehran 1445613131, Iran.
Shahram AgahColorectal Research Center, Iran University of Medical Center, Tehran 1445613131, Iran.ORCID 0000-0002-5269-4644

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is the third foremost cause of cancer-related death and the fourth most commonly diagnosed cancer globally. The study aimed to evaluate the survival predictors using the Cox Proportional Hazards (CPH) and established a novel nomogram to predict the Overall Survival (OS) of the CRC patients. MATERIALS AND

methodsA historical cohort study, included 1868 patients with CRC, was performed using medical records gathered from Iran's three tertiary colorectal referral centers from 2006 to 2019. Two datasets were considered as train set and one set as the test set. First, the most significant prognostic risk factors on survival were selected using univariable CPH. Then, independent prognostic factors were identified to construct a nomogram using the multivariable CPH regression model. The nomogram performance was assessed by the concordance index (C-index) and the time-dependent area under the ROC curve.

resultsThe age of patients, body mass index (BMI), family history, tumor grading, tumor stage, primary site, diabetes history, T stage, N stage, and type of treatment were considered as significant predictors of CRC patients in univariable CPH model (

conclusionWe improved a novel nomogram diagram according to factors for predicting OS in CRC patients, which could assist clinical decision-making and prognosis predictions in patients with CRC.

Indexed as

Colorectal NeoplasmsNomogramsCohort StudiesHumansNeoplasm StagingProportional Hazards Modelscolorectal cancercox proportional hazardsnomogramoverall survivalrisk factors

Identifiers

PMID34360026
PMCPMC8345484

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Registered trials

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.