Evidence map›Paper›PMID 38778698›Full record

ArticleCancer medicine2024

The association of preoperative hematologic parameters with short-term clinical outcomes in rectal cancer: A feature importance analysis.

Ala Orafaie, Fatemeh Shahabi, Ali Mehri, Majid Ansari, Sajjad Kasraeifar, Mahdie Ghiyasi, Maryam Saberi-Karimian, Abbas Abdollahi, Seyyed Mohammad Tabatabaei

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Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ala OrafaieEndoscopic and Minimally Invasive Surgery Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0002-8496-6536
Fatemeh ShahabiEndoscopic and Minimally Invasive Surgery Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0001-7840-170X
Ali MehriEndoscopic and Minimally Invasive Surgery Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0002-8989-974X
Majid AnsariEndoscopic and Minimally Invasive Surgery Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0002-8383-3555
Sajjad KasraeifarEndoscopic and Minimally Invasive Surgery Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Mahdie GhiyasiEndoscopic and Minimally Invasive Surgery Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Maryam Saberi-KarimianEndoscopic and Minimally Invasive Surgery Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0003-2314-0471
Abbas AbdollahiEndoscopic and Minimally Invasive Surgery Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0001-6834-5759
Seyyed Mohammad TabatabaeiDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0002-3153-8968

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVarious hematologic parameters have been proposed as prognostic factors in rectal cancer management, but data are conflicting and unclear. This study is designed to investigate the prognostic factor capability of preoperative hematologic parameters with postoperative morbidities and mortality in rectal cancer patients undergoing curative resection.

methodsAll 200 consecutive rectal cancer patients diagnosed at Ghaem University Hospital from 2017 to 2022 were retrospectively evaluated. The receiver operating characteristic (ROC) curves and machine learning (ML) algorithms of Random Forest, Recursive Feature Elimination, simulated annealing, Support Vector Machine, Decision Tree, and eXtreme Gradient Boosting were administered to investigate the role of preoperative hematologic parameters accompanied by baseline characteristics on three clinical outcomes including surgical infectious complications, recurrence, and death.

resultsThe frequency of infectious complications was correlated with the surgical procedure, while tumor recurrence was significantly influenced by T stage and N stage. In terms of mortality, alongside T and N stage, the status of resection margin involvement was significantly correlated. Based on the ROC analysis, the NLR >2.69, MPV ≤9 fL, and PDW ≤10.5 fL were more classified patients to mortality status. Likewise, the PLT >220 10

conclusionAccording to the results of both ROC analysis and ML models, preoperative hematologic parameters are considerable prognostic factors of postoperative outcomes in rectal cancer patients, and are recommended to be monitored by clinicians to prevent unfavorable outcomes.

Indexed as

Rectal NeoplasmsAdultAgedFemaleHumansMachine LearningMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingPostoperative ComplicationsPreoperative PeriodPrognosisRetrospective StudiesROC CurveTreatment Outcomeclinical outcomeshematologic parametersmachine learningprognostic factorrectal cancer

Identifiers

PMID38778698
PMCPMC11112298

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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.