Evidence map›Paper›PMID 38353388›Full record

Observational studyImmunity, inflammation and disease2024

Association between preoperative systemic immune inflammation index and postoperative sepsis in patients with intestinal obstruction: A retrospective observational cohort study.

Jirong Yang, Taojia Ran, Xiaoyu Lin, Jinyan Xu, Shaoli Zhou, Chaojin Chen, Pinjie Huang

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Immunity, inflammation and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 11 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

7 authors at 1 institution in 1 country.

Jirong YangDepartment of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Taojia RanDepartment of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Xiaoyu LinDepartment of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Jinyan XuDepartment of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Shaoli ZhouDepartment of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Chaojin ChenDepartment of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Pinjie HuangDepartment of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.ORCID http://orcid.org/0000-0001-7909-9901
Sun Yat-sen University · CN

Funding

Provincial-enterprise Joint Funds of Guangdong Basic and Applied Basic Research Foundation 2021B1515230012Science and Technology Planning Project of Guangdong Province-Regional Innovation Capacity and Support System Construction 2023B110006Science and Technology Program of Guangzhou, China 202201020429The "Five and five" Project of the Third Affiliated Hospital of Sun Yat-Sen University 2023WW501The Joint Funds of the National Natural Science Foundation of China U22A20276The Natural Science Foundation of Guangdong Province 2018A0303130224The Natural Science Foundation of Guangdong Province 2021A1515010255The Natural Science Foundation of Guangdong Province 2021A1515011827The Natural Science Foundation of Guangdong Province 2022A1515012603The Young Talent Support Project of Guangzhou Association for Science and Technology QT20220101257
6 · The paper itself

Abstract

backgroundSepsis is a severe complication that results in increased morbidity and mortality after intestinal obstruction surgery. This study examined the role of preoperative systemic immune inflammation index (SII) for postoperative sepsis in intestinal obstruction patients.

methodsData on patients who underwent intestinal obstruction surgery were collected. SII was determined and separated into two groups (≤1792.19 and >1792.19) according to the optimal cut-off value of SII for postoperative sepsis. The odds ratio (OR) is calculated for the correlation between SII and postoperative sepsis. Additional analyses were used to estimate the robustness of SII.

resultsA total of 371 intestinal obstruction patients undergoing surgery were included in the final cohort, and 60 (16.17%) patients developed postoperative sepsis. Patients with an SII >1792.19 had a significantly higher risk for developing postoperative sepsis after multivariable adjustment [adjusted odds ratio = 2.12, 95% confidence interval: [1.02-4.40]]. The analysis of interaction showed no correlation between the preoperative SII and postoperative sepsis regarding age, hypertension, American Society of Anesthesiologists classification, blood loss, albumin, hemoglobin, creatinine, and leukocyte (all interactions p > .05). In subgroup analysis, all statistically significant subgroups showed that SII was a risk factor for postoperative sepsis (all p < .05). The analyses of subgroups and interactions revealed that the interaction effect of a preoperative SII >1792.19 and postoperative sepsis remained significant. A sensitivity analysis confirmed the robustness of the results.

conclusionsA preoperative SII > 1792.19 was a risk factor for postoperative sepsis in patients undergoing intestinal obstruction surgery.

Indexed as

Intestinal ObstructionSepsisHumansInflammationRetrospective StudiesRisk Factorsintestinal obstructionrisk factorsepsissystemic immune inflammation index

Identifiers

PMID38353388
PMCPMC10865413
OpenAlexW4391825060

What OpenQuestion holds

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LicenceCC BY
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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.