ArticleRespiratory research2024
Incidence rate of occult lymph node metastasis in clinical T
Article in Respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- Development and validation of an interpretable medical deep foundation model for predicting occult lymph node metastasis in early-stage small cell lung cancer: a multicenter retrospective diagnostic study.Translational lung cancer research · 2026Article
- Article
- Prediction of Lung Cancer Metastasis Using Machine Learning Models Based on Clinical Laboratory Data.Cancer reports (Hoboken, N.J.) · 2025Article
- The screening of optimal primary tumor resection candidates in patients with small cell lung cancer: a population-based predictive model.Translational cancer research · 2025Article
- Machine learning model using immune indicators to predict outcomes in early liver cancer.World journal of gastroenterology · 2025Article
- Machine learning insights into early mortality risks for small cell lung cancer patients post-chemotherapy.Frontiers in medicine · 2025Article
- Letter to the editor: Incidence rate of occult lymph node metastasis in clinical T1 - 2N0M0 small cell lung cancer patients and radiomic prediction based on contrast-enhanced CT imaging: a multicenter study.Respiratory research · 2024Article
- Serum tumor markers: potential indicators for occult lymph node metastasis in clinical TRespiratory research · 2024Article
Corrections and comments
- Commented on by
Authors and funding
14 authors.
Funding
Abstract
backgroundThis study aimed to explore the incidence of occult lymph node metastasis (OLM) in clinical T
methodsBy conducting a retrospective analysis involving 242 eligible patients from 4 centeres, we determined the incidence of OLM in cT
resultsThe initial investigation revealed a 33.9% OLM positivity rate in cT
conclusionsThe incidence of OLM in SCLC patients surpassed that in non-small cell lung cancer patients. The combined model demonstrated a notable generalization effect, effectively distinguishing between positive and negative OLMs in a noninvasive manner, thereby guiding individualized clinical decisions for patients with cT
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.