Evidence map›Paper›PMID 39845228›Full record

ArticleCureus2024

Pursuing Better Outcomes in Obstructive Colorectal Cancer Surgery: A New Predictive Scoring System for Immediate Complications and Optimization of Hospital Stay.

Alexandra-Ana Mihailescu, Serban Dragosloveanu, Minodora Onisâi, Matei Teodorescu, Adrian Alexandru, Catalin Alius, Corneliu-Dan Blendea, Stefan-Ilie Neagu, Dragos Serban, Sebastian Gradinaru

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Alexandra-Ana MihailescuFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Serban DragosloveanuFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Minodora OnisâiFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Matei TeodorescuFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Adrian AlexandruFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Catalin AliusFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Corneliu-Dan BlendeaDepartment of Medical-Clinical Disciplines, General Surgery, Titu Maiorescu University of Bucharest, Bucharest, ROU.
Stefan-Ilie NeaguFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Dragos SerbanFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Sebastian GradinaruDepartment of Medical-Clinical Disciplines, General Surgery, Titu Maiorescu University of Bucharest, Bucharest, ROU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionColorectal cancer (CRC) is one of the most common cancers occurring globally. Surgery for CRC often extends hospital stays due to complications, as patients must meet nutritional needs and regain mobility before discharge. Longer hospital stays, required for extended monitoring and care, can increase the risk of further complications, creating a cycle where extended stays lead to more issues. Predicting a patient's length of stay (LOS) is crucial for optimal resource management, financial control, and patient care.

methodsThis study aimed to create a scoring system to predict postoperative complications and prolonged hospitalization in colorectal cancer surgery patients. Over 60 variables, including age, BMI, and tumor location, were analyzed for their correlation with complications.

resultsA complication score was developed based on six factors linked to postoperative complications: hemoglobin (Hb), serum albumin, tumor localization, EC (epidural catheter), opioid use, and NPO (nil per os) days. Patients with three or more identified risk factors had a 6.17-fold higher complication rate, with a highly significant p-value of 0.0008, demonstrating the score's strong potential for identifying high-risk patients. The factors significantly associated with length of stay (LOS) include admission hemoglobin levels, tumor localization (right versus left colon), intraoperative fluid intake, the presence or absence of regional anesthesia and analgesia (RAA), the number of drainage tubes, and postoperative hematocrit levels. The analysis shows that patients with at least three of the six identified risk factors are 5.17 times more likely to experience prolonged hospitalization (over eight days) compared to those with fewer than three points, with a statistically significant correlation (p-value of 0.003). Our findings indicate that patients with three or more risk factors are significantly more likely to experience complications and extended hospital stays.

conclusionsThis scoring system can serve as an essential tool for healthcare providers to identify at-risk patients, optimize resource allocation, and ultimately enhance patient recovery and outcomes. Moreover, the integration of the complication and LOS scores into routine preoperative assessments can facilitate a more personalized care plan, enabling healthcare providers to identify patients who may benefit from closer monitoring and additional support during their recovery. Further validation in diverse populations and settings is needed to confirm the scoring system's generalizability and utility.

Indexed as

colorectal cancercomplication scoreestimated discharge dayhospital stayintestinal obstruction

Identifiers

PMID39845228
PMCPMC11753806

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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.