Observational studyClinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association2022
Baseline Predictors of Longitudinal Changes in Symptom Severity and Quality of Life in Patients With Suspected Gastroparesis.
Observational study in Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02022826 (Clinical Management With SmartPill Motility Monitoring System and Validation of the SmartPill Five Hour Cutoff in Patients With Symptoms of Gastroparesis), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Clinical Management With SmartPill Motility Monitoring System and Validation of the SmartPill Five Hour Cutoff in Patients With Symptoms of Gastroparesis
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Guideline
- Severe Diabetic Gastroparesis and Complex Discharge Planning: Home IV Cyclizine As the Only Solution.Cureus · 2026Article
- Predicting Response to Neuromodulators or Prokinetics in Patients With Suspected Gastroparesis Using Machine Learning: The "BMI, Infectious Prodrome, Delayed GES, and No Diabetes" Model.Clinical and translational gastroenterology · 2024Article
- Scoping review: the social and emotional impacts of gastroparesis.Translational gastroenterology and hepatology · 2024Article
- Predicting acupuncture efficacy for functional dyspepsia based on routine clinical features: a machine learning study in the framework of predictive, preventive, and personalized medicine.The EPMA journal · 2022Article
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Authors and funding
12 authors at 9 institutions in 1 country.
Funding
Abstract
BACKGROUND &
aimsWhether gastric emptying tests predict longitudinal outcomes in patients with symptoms of gastroparesis is unclear. We aimed to determine whether baseline gastric emptying tests and gut motility parameters could impact longitudinal symptom(s) and quality of life (QOL) in a prospective, observational cohort study of patients with symptoms of gastroparesis.
methodsOne hundred fifty patients with gastroparesis symptoms underwent simultaneous scintigraphy (GES) and wireless motility capsule (WMC) measurement of gastric emptying and other motility parameters. Patient Assessment of Upper Gastrointestinal Symptoms and Quality of Life were administered at baseline, and 3 and 6 months after testing. Multivariable generalized linear marginal models were fit to determine which baseline parameters predict longitudinal changes in symptoms and QOL.
resultsOverall upper GI symptoms and QOL scores were moderate in severity at baseline and significantly improved over 6 months. Clinical variables, including female gender, harder stools by Bristol stool form score, and presence of functional dyspepsia (FD) by Rome III criteria, were predictive of more severe upper GI symptoms. Even after controlling for these clinical factors, delayed gastric emptying by GES or WMC was associated with worse symptom severity and QOL scores. Low gastric and elevated small bowel contractile parameters by WMC were also independently associated with more severe upper GI symptoms and worse QOL scores.
conclusionsBaseline features, including demographic and clinical variables, delayed gastric emptying and abnormal gastrointestinal contractility, were independent predictors of more severe longitudinal symptoms and worse quality of life outcomes. These factors may help to risk stratify patients and guide treatment decisions. ClinicalTrials.gov no: NCT02022826.
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