Evidence map›Paper›PMID 42623323›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

The Effect of Positive Cervical Lymph Node Count on Long-Term Survival of Papillary Thyroid Cancer: A Large Population-Based Study.

Weijian Li, Hui Wang, Pengpeng Chang, Jian Tan, Qiang Jia, Ruiguo Zhang

Abstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Weijian LiDepartment of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Hui WangDepartment of Nuclear Medicine, Tianjin Medical University General Hospital Airport Hospital, Tianjin, China.
Pengpeng ChangDepartment of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Jian TanDepartment of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Qiang JiaDepartment of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Ruiguo ZhangDepartment of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, China.ORCID 0000-0001-6839-8527

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionInadequate and conflicting reporting exists regarding the intricate association between positive lymph node (PLN) number and papillary thyroid cancer (PTC) survival. Our aim was to elucidate the relationships between PLN and overall survival in PTC patients using a large population-based study.MethodsData on PTC patients diagnosed between 2004 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Proportional hazards regression models with restricted cubic splines (RCS) were employed to examine the associations between them. Multivariable adjusted Cox regression models and sensitivity analyses were conducted to validate the association.ResultsIn total, 44,181 patients with PTC were included (18,148 with and 26,033 without lymph node metastases). After adjusting for covariate effects, patients with node metastases exhibited compromised survival compared to those without (hazard ratio[HR], 1.58; 95% confidence interval [CI], 1.44 to 1.74). In the RCS model, all-cause mortality risk increased rapidly until seven PLN, with a HR of 1.14 (95% CI, 1.11 to 1.17) per increase of one metastatic node but stabilized afterwards (HR, 1.01; 95% CI, 0.98 to 1.05) (

Indexed as

Lymphatic MetastasisLymph NodesThyroid Cancer, PapillaryThyroid NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedPrognosisSEER Programpapillary thyroid carcinomapositive lymph nodesrestricted cubic splinesSEER

Identifiers

PMID42623323
PMCPMC13494334

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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.