Evidence map›Paper›PMID 35795844›Full record

ArticleInternational journal of endocrinology2022

Peripheral Blood Inflammatory Markers Can Predict Benign and Malignant Thyroid Nodules.

Yuanyuan Deng, Jie Zhang, Guilin Zou, Shanshan Li, Zhaoxia Gong, Guanru Yue, Ping Fan, Jixiong Xu

Abstract read
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In one paragraph

Article in International journal of endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 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.

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

14 citing papers in PubMed, 3 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

8 authors.

Yuanyuan DengDepartment of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang 330006, China.ORCID https://orcid.org/0000-0002-4716-3662
Jie ZhangDepartment of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang 330006, China.
Guilin ZouDepartment of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang 330006, China.
Shanshan LiDepartment of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang 330006, China.
Zhaoxia GongDepartment of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang 330006, China.
Guanru YueDepartment of Basic Medicine, Jiangxi Medical College, Nanchang University, Nanchang 330006, China.
Ping FanDepartment of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang 330006, China.
Jixiong XuDepartment of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang 330006, China.ORCID https://orcid.org/0000-0002-4947-3576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Inflammation is related to the occurrence and development of various cancers. This study was designed to explore the role of peripheral blood platelet count, neutrophil-lymphocyte ratio (NLR), platelet count-lymphocyte count ratio (PLR), systemic inflammation index (SII), and other inflammatory markers in predicting benign and malignant Thyroid Imaging Reporting and Data System (TI-RADS) grade 3 thyroid nodules. Methods: In this retrospective study, 514 patients with TI-RADS grade 3 thyroid nodules were enrolled. According to the pathological results, the patients were divided into the benign and malignant nodule groups. We compared the clinical characteristics between the two groups and analysed the influencing factors for malignant thyroid nodules by univariate and stepwise multivariate logistic regression analyses and then analysed the cutoff value of each influencing factor according to the receiver operating characteristic curve. Results: The leukocyte count, neutrophil count, platelet count, NLR, PLR, and SII of the malignant nodule group were significantly higher than those of the benign nodule group ( Conclusion: This study showed that peripheral blood SII, PLR, leukocyte count and age were independent risk factors for malignant thyroid nodules, and the combination of these can better predict benign and malignant thyroid nodules, which can further guide the diagnosis and treatment of TI-RADS grade 3 thyroid nodules.

Identifiers

PMID35795844
PMCPMC9251144

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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.