Evidence map›Paper›PMID 41000206›Full record

ArticleJournal of inflammation research2025

Clinical Value of Lymphocyte Count in Risk Prediction of Papillary Thyroid Carcinoma: A Case-Control Study in a Chinese Population.

Xiu-Ping Qiu, Ru-Ying Xie, Yang Chen, Mei Tu, Ting Wang

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

5 authors.

Xiu-Ping QiuDepartment of Endocrinology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, 364000, People's Republic of China.
Ru-Ying XieDepartment of Endocrinology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, 364000, People's Republic of China.
Yang ChenDepartment of Endocrinology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, 364000, People's Republic of China.
Mei TuDepartment of Endocrinology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, 364000, People's Republic of China.
Ting WangDepartment of Endocrinology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, 364000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to evaluate the association between preoperative peripheral blood lymphocyte count and the risk of papillary thyroid carcinoma (PTC) in a Chinese population using a case-control design. Methods: A retrospective analysis was conducted on 1832 patients who underwent thyroid surgery, including 1007 diagnosed with benign thyroid nodules and 825 with PTC. Clinical parameters, including lymphocyte count, nodule volume, thyroid function, and thyroid autoantibody levels, were assessed. Multivariate regression and stratified analyses were conducted to examine the relationship between lymphocyte count and PTC risk. Results: The mean lymphocyte count was significantly higher in patients with PTC compared to those with benign thyroid nodules (1.20 ± 0.63 vs 1.87 ± 0.53, Conclusion: Lymphocyte count may serve as a potential predictor of PTC risk. This finding may provide new insights into early clinical risk stratification and personalized screening strategies in the management of PTC.

Indexed as

biomarkerimmune microenvironmentinflammatory markerspapillary thyroid carcinomaperipheral blood lymphocyte countrisk assessmentthyroid nodules

Identifiers

PMID41000206
PMCPMC12457079

What Socratic holds

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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 Socratic graph.