Trial reportWorld journal of surgery2013
Appraisal of staging endoscopic ultrasonography in a modern high-volume esophageal program.
Trial report in World journal of surgery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Clinical TNM staging for esophageal, gastric, and colorectal cancers in the era of neoadjuvant therapy: A systematic review of the literature.Annals of gastroenterological surgery · 2021Review
- Use of endoscopic ultrasound in pre-treatment staging of esophageal cancer did not alter management plan.Journal of thoracic disease · 2020Article
- Preoperative lymph node status on computed tomography influences the survival of pT1b, T2 and T3 esophageal squamous cell carcinoma.Surgery today · 2019Article
- Endoscopic ultrasound staging for early esophageal cancer: Are we denying patients neoadjuvant chemo-radiation?World journal of gastroenterology · 2017Article
- Pretreatment Dysphagia in Esophageal Cancer Patients May Eliminate the Need for Staging by Endoscopic Ultrasonography.The Annals of thoracic surgery · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccurate pretreatment staging is essential to decision making for patients with esophageal and junctional cancers, particularly when choosing endoscopic therapy or a multimodal approach. As the efficacy of endoscopic ultrasonography (EUS) has been reported as variable, we assessed it prospectively in a large cohort from a high-volume center.
methodsThe EUS data from 2007 to 2011 were reviewed and analyzed. We conducted a comparative analysis with computed tomography-positron emission tomography (CT-PET) staging and pathology. Survival was analyzed by Kaplan-Meier testing on EUS-predicted T- and N-stage cohorts.
resultsAltogether, 222 patients underwent EUS. Among patients undergoing primary surgical resection, preoperative EUS diagnosed the T stage correctly in 71 % (55/77) of cases. Sensitivity and specificity for T1, T2, and T3 tumors were 94 and 89 %, 55 and 80 %, and 66 and 93 %, respectively. Mean maximum standard uptake volume on CT-PET correlated moderately with the EUS T stage (r = 0.42, p < 0.0001). EUS accuracy for nodal disease was 65 %. Survival was statistically better for the EUS T1 group than for those with T3 tumors (p = 0.01). Nodal metastases diagnosed on EUS predicted a significantly worse prognosis than EUS-negative nodes on both univariate and multivariate analyses (p < 0.0001 and p = 0.005 respectively).
conclusionsThere was a significant relation between EUS T and N stages and overall survival. EUS demonstrated 71 % accuracy for the overall T stage. Staging accuracy of EUS for large lesions was less effective than for T1 tumors, underlining the need for a multimodal investigative approach to stage esophageal tumors accurately.
Indexed as
Identifiers
23568244What 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.