Evidence map›Paper›PMID 32104084›Full record

ArticleCancer management and research2020

Usefulness of Inflammation-Based Prognostic Scores for Predicting the Risk of Complications After Radical Resection of Colorectal Carcinoma.

Wenhao Man, Huajun Lin, Zhao Liu, Lei Jin, Jin Wang, Jun Zhang, Zhigang Bai, Hongwei Yao, Zhongtao Zhang, Wei Deng

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 37% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Wenhao Man *Department of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, Beijing 100050, People's Republic of China.
Huajun Lin *Department of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, Beijing 100050, People's Republic of China.ORCID 0000-0001-7336-7063
Zhao LiuDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, Beijing 100050, People's Republic of China.
Lei JinDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, Beijing 100050, People's Republic of China.
Jin WangDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, Beijing 100050, People's Republic of China.
Jun ZhangDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, Beijing 100050, People's Republic of China.
Zhigang BaiDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, Beijing 100050, People's Republic of China.ORCID 0000-0001-9234-9354
Hongwei YaoDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, Beijing 100050, People's Republic of China.
Zhongtao ZhangDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, Beijing 100050, People's Republic of China.
Wei DengDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, Beijing 100050, People's Republic of China.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to investigate the value of inflammation-based prognostic scores for predicting early complications after radical surgery for colorectal carcinoma.

methodsWe retrospectively analyzed data of 154 patients who underwent elective resection of colorectal carcinoma between January 2017 and December 2018 at Beijing Friendship Hospital. Univariate, multivariate, and receiver operating characteristic curve analyses were conducted. As inflammation indices, we evaluated the preoperative modified Glasgow Prognostic Score (GPS), as well as the C-reactive protein/albumin ratio (CAR), postoperative GPS, and C-reactive protein levels on postoperative day 3 (POD3).

resultsWithin 30 days postoperatively, complications occurred in 80 patients (51.9%). And high levels of preoperative mGPS (P=0.002), preoperative CAR (P=0.019), POD3 CAR (P<0.001) and POD3 poGPS (P<0.001) can significantly affect postoperative complications after surgery for colorectal cancer, with CRP on POD3 (odds ratio, 1.015; 95% confidence interval, 1.006-1.024; P=0.001) as independent risk factors. Among all inflammation-based indicators, POD3 CAR had the highest area under the curve (0.711) and positive predictive value (83.2%). Higher CAR (≥2.6) on POD3 was associated with a higher rate of complications (92.9% vs 36.6%, P<0.001), especially of infectious nature (54.8% vs 16.1%, P<0.001).

conclusionCAR≥2.6 on POD3 reflects sustained systemic inflammation and represents a useful predictor of complications after surgery for colorectal carcinoma, facilitating early detection, timely intervention, and enhanced recovery.

Indexed as

albumincolorectal carcinomaC-reactive proteinGlasgow Prognostic Scorepostoperative complicationsrisk predictionsurgery

Identifiers

PMID32104084
PMCPMC7023871
OpenAlexW3005424227

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.