Evidence map›Paper›PMID 31237106›Full record

ArticleThoracic cancer2019

Prognostic impact of examined lymph node count in pT1N0M0 esophageal cancer: A population-based study.

Ying Liu, Heli Yang, Hao Fu, Meng Li, Zhen Feng, Zhongmin Peng, Zhen Liang, Hui Wang

Abstract read
In one paragraph

Article in Thoracic cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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.

Ying LiuDepartment of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Heli YangDepartment of Thoracic Surgery I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Hao FuDepartment of Thoracic Surgery I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Meng LiDepartment of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Zhen FengDepartment of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Zhongmin PengDepartment of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Zhen LiangDepartment of Thoracic Surgery I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Hui WangDepartment of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.ORCID 0000-0001-5532-5759

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch on the impact of examined lymph node (ELN) count on node-negative esophageal cancer (EC) especially pT1N0M0 EC is inadequate. This study was designed to analyze the prognostic impact of ELN count on pT1N0M0 EC.

methodsData of resected pT1N0M0 EC patients between 1988 and 2015 were extracted from the United States Surveillance, Epidemiology, and End Results (SEER) database. The association between ELN count and overall survival (OS) or esophageal cancer-specific survival (ECSS) were investigated. Factors that may predict the outcome were identified using the Kaplan-Meier method and the Cox proportional-hazards model.

resultsA total of 906 patients who underwent resection with at least one lymph node (LN) retrieved met our criteria. The cumulative 5-year OS was 67.6%, while the cumulative 5-year ECSS was 75.4%. X-Tile analysis showed that 12 was the optimal cutoff value for ELN count in terms of both OS (χ2 = 28.764, P < 0.0001) and ECSS (χ2 = 15.668, P = 0.0026). A Kaplan-Meier survival analysis and log-rank comparison revealed that ELN > 12 was significantly associated with better OS (HR, 0.532; 95% CI, 0.421-0.672; P < 0.001) and ECSS (HR, 0.561; 95% CI, 0.420-0.749; P < 0.001) rates than ELN ≤12. The OS and ECSS benefit of increasing ELN count were also reflected in the multivariate analysis after adjustment for age, sex, race, marital status, location, T stage, tumor size, pathology, and differentiation.

conclusionsThese findings indicated that greater number of ELN count exhibits prognostic significance in pT1N0M0 EC. We recommend more than 12 LNs should be examined in pT1N0M0 EC.

Indexed as

AgedAged, 80 and overEsophageal NeoplasmsFemaleHumansLymph NodesMaleMiddle AgedNeoplasm StagingPrognosisSEER ProgramSurvival AnalysisTreatment OutcomeEsophageal cancerexamined lymph node countlong-term survivalpopulation-based studyprognostic factors

Identifiers

PMID31237106
PMCPMC6610254

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.