Evidence map›Paper›PMID 36388661›Full record

ArticleJournal of gastrointestinal oncology2022

Effect of the systemic immune-inflammation index on postoperative complications and the long-term prognosis of patients with colorectal cancer: a retrospective cohort study.

Liping Feng, Ruimin Xu, Lin Lin, Xianghui Liao

Abstract read
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Article in Journal of gastrointestinal oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 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

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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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

4 authors.

Liping Feng *Department of Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Ruimin Xu *Department of Anorectal, Shanghai Pudong New Area Hospital of Traditional Chinese Medicine, Shanghai, China.
Lin LinDepartment of Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Xianghui LiaoDepartment of Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) is one of the most common malignant tumors of the digestive tract. Surgery is the main way to cure CRC, but the postoperative complication rate and recurrence rate remain high. The systemic immune-inflammation (SII) index reflects a patient's systemic inflammatory state and immune state. Postoperative recurrence and the occurrence of complications are closely related to the inflammatory state and immune state. Thus, the SII index may have some value in predicting postoperative complications and the long-term prognosis of CRC patients, but relevant studies are currently lacking. The present study sought to examine the effect of the SII index on the postoperative complications and long-term prognosis of patients with CRC. Methods: From January 2014 to January 2017, the data of 440 patients with CRC who had been admitted to the Affiliated Hospital of Guangdong Medical University were retrospectively collected, and the patients were equally divided into the high and the low SII groups according to their preoperative SII index levels. The postoperative complication rate and postoperative progression-free survival (PFS) and mortality between the 2 groups were compared. Results: Compared to the low SII group, the incidence of postoperative infection in the high SII group was significantly increased (15.45% Conclusions: The SII index has certain predictive value for the diagnosis of postoperative infectious complications and the long-term prognosis of CRC patients.

Indexed as

colorectal cancer (CRC)long-term prognosispostoperative complicationsSystemic immune-inflammation index (SII index)

Identifiers

PMID36388661
PMCPMC9660034

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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.