Evidence map›Paper›PMID 36684205›Full record

ArticleFrontiers in surgery2022

Correlation between systemic immune inflammatory index and prognosis of patients with hepatic alveolar hydatid disease and establishment of a nomogram prediction model.

Chen Xiaobin, Yuan Jiaqi, Xu Zhaojun, Pan Mingquan, Zhou Ying, Hou Lizhao, Ren Li, Wang Haijiu, Wang Zhixin, Fan Haining and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Risk factor analysis and prediction of multi-organ metastasis in hepatic alveolar echinococcosis.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association · 2025
    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

11 authors at 1 institution in 1 country.

Chen XiaobinDepartment of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qinghai University, Qinghai, China.
Yuan JiaqiDepartment of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qinghai University, Qinghai, China.
Xu ZhaojunDepartment of Gastrointestinal Surgery, Affiliated Hospital of Qinghai University, Qinghai, China.
Pan MingquanDepartment of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qinghai University, Qinghai, China.
Zhou YingDepartment of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qinghai University, Qinghai, China.
Hou LizhaoDepartment of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qinghai University, Qinghai, China.
Ren LiDepartment of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qinghai University, Qinghai, China.
Wang HaijiuDepartment of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qinghai University, Qinghai, China.
Wang ZhixinDepartment of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qinghai University, Qinghai, China.
Fan HainingDepartment of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qinghai University, Qinghai, China.
Chen LinDepartment of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qinghai University, Qinghai, China.
Qinghai University Affiliated Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To explore the evaluation value of systemic immune inflammation index (SII) in the prognosis of patients with alveolar hydatid disease, and establish a nomogram prediction model. Methods: Collect the clinical data of 351 patients undergoing hepatic alveolar hydatid surgery admitted to the Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Qinghai University from January 2015 to December 2020, calculate the SII value, and use the receiver operating characteristic curve (ROC curve) to determine According to the optimal clinical cut-off value of SII, patients were divided into two groups with high SII and low SII, and the relationship between SII and clinicopathological factors and prognosis of patients with alveolar echinococcosis was analyzed. Establish a nomogram prediction model based on independent risk factors for patient prognosis, and evaluate the prediction accuracy and discrimination ability of the nomogram through the consistency index (C-index) and calibration curve. The result is through the use of bootstrapping validation with 1,000 re-sampling Method for internal verification. Results: The ROC curve was used to determine the optimal cut-off value of SII before operation 761.192, and patients were divided into low SII group ( Conclusions: SII has a clear correlation to the prognosis of patients with alveolar echinococcosis. The nomogram prediction model constructed on this basis is beneficial to the clinically individualized analysis of the patient's prognosis.

Indexed as

hepatic alveolar echinococcosisnomogramprognosisrisk factorssystemic immune inflammatory

Identifiers

PMID36684205
PMCPMC9852715
OpenAlexW4313645896

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LicenceCC BY
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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.