Evidence map›Paper›PMID 36141305›Full record

ArticleHealthcare (Basel, Switzerland)2022

The Prediction of Survival Outcome and Prognosis Factor in Association with Comorbidity Status in Patients with Colorectal Cancer: A Research-Based Study.

Hafeez Afolabi, Salzihan Md Salleh, Zaidi Zakaria, Ewe Seng Ch'ng, Siti Norasikin Mohd Nafi, Ahmad Aizat Bin Abdul Aziz, Sameer Badri Al-Mhanna, Yusuf Wada, Abdulwali Sabo Abdulrahman

Registry-linked trialAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07422974 (The Impact of Neoadjuvant Therapy on Perioperative Complications and Treatment Outcomes in Patients Undergoing Colorectal Cancer Resection), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT07422974 recruitingnot on this mapstarted 2026, after this paper: background citation

The Impact of Neoadjuvant Therapy on Perioperative Complications and Treatment Outcomes in Patients Undergoing Colorectal Cancer Resection

Typeobservational_patient_registrySponsorOsijek University HospitalRan2026 to 2027Enrolled68ConditionsColorectal Carcinoma (CRC), Complications, Neoadjuvant Therapy, Endothelial DysfunctionArmsSkin and subcutaneous tissue sampling for histopathological analysis, Blood sampling for laboratory analyses before and after surgery
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Article
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

9 authors.

Hafeez AfolabiDepartment of General Surgery, School of Medical Sciences, Hospital Universiti Sains Malaysia, Universiti Sains Malaysia USM, Kubang Kerian 16150, Kelantan, Malaysia.ORCID 0000-0002-1120-4100
Salzihan Md SallehDepartment of Pathology, School of Medical Sciences, Hospital Universiti Sains Malaysia, Universiti Sains Malaysia USM, Kubang Kerian 16150, Kelantan, Malaysia.
Zaidi ZakariaDepartment of General Surgery, School of Medical Sciences, Hospital Universiti Sains Malaysia, Universiti Sains Malaysia USM, Kubang Kerian 16150, Kelantan, Malaysia.
Ewe Seng Ch'ngAdvanced Medical and Dental Institute, Universiti Sains Malaysia USM, Kepala Batas 13200, Penang, Malaysia.ORCID 0000-0001-8831-8678
Siti Norasikin Mohd NafiDepartment of Pathology, School of Medical Sciences, Universiti Sains Malaysia USM, Kubang Kerian 16150, Kelantan, Malaysia.
Ahmad Aizat Bin Abdul AzizDepartment of Human Genome Centre, School of Medical Sciences, Health Campus, Universiti Sains Malaysia USM, Kubang Kerian 16150, Kelantan, Malaysia.
Sameer Badri Al-MhannaDepartment of Physiology and Exercise, School of Medical Sciences, Health Campus, Universiti Sains Malaysia USM, Kubang Kerian 16150, Kelantan, Malaysia.
Yusuf WadaDepartment of Medical Microbiology and Parasitology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia USM, Kubang Kerian 16150, Kelantan, Malaysia.
Abdulwali Sabo AbdulrahmanDepartment of Biostatistics and Research Methodology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia USM, Kubang Kerian 16150, Kelantan, Malaysia.

Funding

RU Top-Down grant 1001/PPSP/8070013
6 · The paper itself

Abstract

Colorectal carcinoma (CRC) is rising exponentially in Asia, representing 11% of cancer worldwide. This study analysed the influence of CRC on patients’ life expectancy (survival and prognosis factors) via clinicopathology data and comorbidity status of CRC patients. Methodology: A retrospective study performed in HUSM using clinical data from the Surgery unit from 2015 to 2020. The demographic and pertinent clinical data were retrieved for preliminary analyses (data cleansing and exploration). Demographics and pathological characteristics were illustrated using descriptive analysis; 5-year survival rates were calculated using Kaplan−Meier methods; potential prognostic variables were analysed using simple and multivariate logistic regression analysis conducted via the Cox proportional hazards model, while the Charlson Comorbidity Scale was used to categorize patients’ disease status. Results: Of a total of 114 CRC patients, two-thirds (89.5%) were from Malay tribes, while Indian and Chinese had 5.3% each. The 50−69.9 years were the most affected group (45.6%). Overall, 40.4% were smokers (majorly male (95.7%)), 14.0% ex-smokers, and 45.6% non-smokers (p-value = 0.001). The Kaplan−Meier overall 5-year median survival time was 62.5%. From the outcomes, patients who were male and >70 years had metastasis present, who presented with per rectal bleeding and were classified as Duke C; and who has tumour in the rectum had the lowest survival rate. Regarding the prognosis factors investigated, “Gender” (adjusted hazard ratio (HR): 2.62; 95% CI: 1.56−7.81, p-value = 0.040), “Presence of metastases” (HR: 3.76; 95% CI: 1.89−7.32, p-value = 0.010), “Metastasis site: Liver” (HR: 5.04; 95% CI: 1.71−19.05, p-value = 0.039), “Lymphovascular permeation” (HR: 2.94; 95% CI: 1.99−5.92, p-value = 0.021), and “CEA-level” (HR: 2.43; 95% CI: 1.49−5.80, p-value = 0.001) remained significant in the final model for multiple Cox proportional hazard regression analyses. There was a significant mean association between tumour grades and the patient’s comorbidity status. Conclusions: Histopathological factors (gender, metastases presence, site of metastases, CEA level, and lymphovascular permeation) showed the best prognosis-predicting factors in CRC.

Indexed as

colorectal cancerprognosis factorssurvival factors

Identifiers

PMID36141305
PMCPMC9498868

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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.