Evidence map›Paper›PMID 35795140›Full record

Trial reportFrontiers in endocrinology2022

A Novel Inflammation and Insulin Resistance Related Indicator to Predict the Survival of Patients With Cancer.

Guo-Tian Ruan, Hai-Lun Xie, He-Yang Zhang, Chen-An Liu, Yi-Zhong Ge, Qi Zhang, Zi-Wen Wang, Xi Zhang, Meng Tang, Meng-Meng Song and 10 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07513922 (Correlation Between hs CRP TG Triglycerides Glucose Index in NAFLD and Liver Fibrosis), which is not on this map. Cited by 147 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
147citing papers in PubMed, 1 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

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.

NCT07513922 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Correlation Between hs CRP TG Triglycerides Glucose Index in NAFLD and Liver Fibrosis

Typeobservational_patient_registrySponsorAssiut UniversityRan2026 to 2027Enrolled96ConditionsLiver FibrosisArms• Fasting triglycerides (TG) • Fasting plasma glucose • High-sensitivity C-reactive protein (hs-CRP) • Liver enzymes (ALT, AST, GGT) • Platelet count • HbA1c • Lipid profile (total cholesterol, HDL-C,
3 · Its place in the literature

Who cites it

147 citing papers in PubMed, 1 synthesis or guideline pooled it.

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87 more citing papers are in PubMed but not listed here.

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

20 authors.

Guo-Tian RuanDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Hai-Lun XieDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
He-Yang ZhangDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Chen-An LiuDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Yi-Zhong GeDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Qi ZhangDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Zi-Wen WangDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Xi ZhangDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Meng TangDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Meng-Meng SongDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Xiao-Wei ZhangDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Ming YangDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Yong-Bing ChenDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Kai-Ying YuDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Li DengDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Yi-Zhen GongDepartment of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Wen HuClinical Nutrition Department, Sichuan University West China Hospital, Chengdu, China.
Kun-Hua WangYunnan University, Kunming, China.
Ming-Hua CongComprehensive Oncology Department, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Han-Ping ShiDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Systemic inflammation and insulin resistance (IR) are closely related in patients with cancer. However, there is no relevant indicator that combines inflammation and IR to predict patient prognosis. Therefore, this study aimed to develop and validate a novel inflammation- and IR-related marker in patients with cancer. Methods: The total cohort of this study included 5221 patients with cancer, and the training and validation cohorts were randomized in a 7:3 ratio. C-reactive protein (CRP) and fasting triglyceride glucose (TyG) were used to reflect patients' inflammation and IR status, respectively. The CRP-TyG index (CTI) was composed of CRP and TyG. The concordance (C)-index, receiver operator characteristic (ROC) curve, and calibration curve reflected the prognostic predictive power of CTI. Univariate and multivariate survival analyses predicted the prognostic value of CTI in patients with cancer. Results: The C-indices of CTI in patients with cancer were 0.636, 0.617, and 0.631 in the total, training, and validation cohorts, respectively. The 1-, 3-, and 5-year ROC and calibration curves showed that CTI had a good predictive ability of survival in patients with cancer. Meanwhile, patients with high CTI had a worse prognosis compared to patients with low CTI (total cohort: hazard ratio [HR] = 1.46, 95% confidence interval [95% CI] = 1.33-1.59; training cohort: HR = 1.36, 95% CI = 1.22-1.52; validation cohort: HR = 1.73, 95% CI = 1.47-2.04]. Conclusion: The CTI is a useful prognostic indicator of poor prognosis and a promising tool for treatment strategy decision-making in patients with cancer.

Indexed as

Insulin ResistanceNeoplasmsBiomarkersGlucoseHumansInflammationTriglyceridesBiomarkersGlucoseTriglyceridesCRPinsulin resistanceoverall survivalsystemic inflammationTyG

Identifiers

PMID35795140
PMCPMC9252441

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Registered trials

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.