Clinicopathological features and outcome for neuroendocrine neoplasms of gastroesophageal junction: A population‐based study
Panpan Zhang; Wei Wang; Ming Lu; Changqing Zeng; Jie Chen; Enxiao Li; Huangying Tan; Wei Wang · 2018 · Cancer Medicine
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND: Gastroesophageal Junction neuroendocrine neoplasms (GEJ-NENs) are rare and heterogeneous tumors. We aim to analyze the clinicopathlogical features and prognostic factors of GEJ-NENs and to compare the outcome of GEJ-NENs with other gastric NENs. METHODS: A total of 297 GEJ-NENs patients were enrolled from 10 Chinese hospitals and 3152 gastric NENs patients, including 274 GEJ-NENs, were retrieved from Surveillance, Epidemiology, and End Results (SEER) database. RESULTS: The clinical characteristics of GEJ-NENs among different races were different. All Chinese patients had GEJ-NENs o
Abstract by Panpan Zhang; Wei Wang; Ming Lu; Changqing Zeng; Jie Chen; Enxiao Li; Huangying Tan; Wei Wang, Cancer Medicine (2018) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke
Negative / Null Result ReportDuodenal Infusion of Donor Feces for Recurrent Clostridium difficile
Negative / Null Result ReportStenting versus Endarterectomy for Treatment of Carotid-Artery Stenosis
Negative / Null Result ReportEffects of Combination Lipid Therapy in Type 2 Diabetes Mellitus
Replication FailureA Randomized Trial of Bevacizumab for Newly Diagnosed Glioblastoma
Negative / Null Result ReportSpironolactone for Heart Failure with Preserved Ejection Fraction
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1002/cam4.1702