ArticleFrontiers in oncology2025
The relationship between lateral cervical lymph node positivity rate and recurrence after comprehensive treatment in differentiated thyroid carcinoma: a single-center retrospective cohort study from China.
Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The lateral cervical lymph node positivity rate has been hypothesized to correlate with the recurrence risk in differentiated thyroid carcinoma (DTC) patients. However, the extent of this association within the Chinese population remains understudied. This study seeks to elucidate the potential causal link between the lymph node positivity rate and DTC recurrence. Methods: We conducted a retrospective cohort study, examining clinical records of 4,731 DTC patients who received surgical treatment at the First Medical Center of the General Hospital of the Chinese People's Liberation Army from January 2015 to May 2020. The study variables encompassed demographic and clinical characteristics, including sex, age, tumor size, location, laterality, capsular invasion, lymph node metastasis counts, lymph node positivity rates, histological subtypes, Hashimoto's thyroiditis co-occurrence, and the timing of iodine-131 therapy post-surgery. After applying strict inclusion criteria, 1,074 patients were selected for analysis. Recurrence was defined as structural incomplete response (SIR), confirmed by imaging or histological means. The lymph node positivity rate was calculated as the proportion of positive lymph nodes to the total lymph node count. Results: Multivariate analysis revealed a nonlinear association between the lateral cervical lymph node positivity rate and post-treatment recurrence, with a significant threshold at 0.5. The recurrence risk was substantially elevated with a positivity rate below this threshold (HR: 27.48, 95% CI: 7.21-104.70, P<0.0001), while no significant association was observed above it (HR: 0.17, 95% CI: 0.02-1.57, P=0.119). Subgroup analysis within the high-risk cohort did not yield a significant association between the positivity rate and recurrence risk (HR=0.43, 95% CI: 0.10-1.79, P=0.246). Discussion: In conclusion, this study identifies a nonlinear relationship between the lateral cervical lymph node positivity rate and the risk of DTC recurrence post-treatment. A positivity rate of less than 0.5 is positively associated with recurrence, while this association diminishes in significance among high-risk patients. This differs from the results previously reported. Further studies are needed to determine the potential mechanisms of the associations observed in observational studies.
Indexed as
Identifiers
What OpenQuestion holds
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.