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Record W2532691906 · doi:10.1097/mcg.0000000000000728

Gastroparesis

2016· article· en· W2532691906 on OpenAlexaboutno aff
Brian E. Lacy, Michael D. Crowell, Carole Mathis, David Bauer, Leslie J. Heinberg

Bibliographic record

VenueJournal of Clinical Gastroenterology · 2016
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNauseaQuality of life (healthcare)Abdominal painDepression (economics)VomitingActivities of daily livingInternal medicinePhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND AND AIMS: Gastroparesis (GP) patients suffer from recurrent symptoms of nausea, vomiting, early satiety, and abdominal pain. The impact of GP on quality of life (QoL), health care utilization and daily activities is not well understood. MATERIALS AND METHODS: Part 1: 398 adult patients (≥18 y) with documented GP (symptoms >6 mo) were surveyed to assess QoL and pain using the Short Form 36 and McGill pain questionnaires. Part 2: 491 adult GP patients were surveyed to evaluate employment status, work and daily activities, medication use, physician visits, diagnostic testing, emergency room visits, and hospitalizations related to their GP symptoms. Both protocols received Institutional Review Board approval. RESULTS: Part 1: 250 fully evaluable surveys were returned (63%). The mean age was 46.8 years (range, 18 to 84 y); 78% were women. Mean Short Form 36 scores for mental health (56.9) and social functioning (68.1) were analogous to scores for patients with serious chronic medical disorders and depression. Pain scores were lower in patients with idiopathic GP compared with diabetic GP. Part 2: 228 evaluable surveys were analyzed (58.3% response rate). The mean age was 49.6 (19 to 86 y); 77.2% were women. GP symptoms reduced daily activities in 67.5% and lowered annual income in 28.5%. In total, 11% were disabled due to GP symptoms. CONCLUSIONS: GP reduces patients' QoL and places a significant financial burden on the health care system. Treatment strategies for GP patients should be broad based and incorporate pain management, psychological evaluation and management, and strategies to improve overall well-being with a return to work and daily activities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.062
GPT teacher head0.390
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations131
Published2016
Admission routes1
Has abstractyes

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