The Diagnostic Accuracy of Abdominal X-ray in Childhood Constipation: A Systematic Review of the Literature
Bibliographic record
Abstract
Background: Previous systematic reviews have found insufficient and conflicting evidence for an association between the clinical and radiographic diagnosis of functional constipation. Abdominal X-ray is frequently used for the diagnosis of functional constipation in clinical practice. The objective of this study was to evaluate the diagnostic accuracy of abdominal X-ray for the evaluation of functional constipation in children. Results: Three studies were included in the final qualitative analysis. They were heterogeneous in their study design, definition of constipation, and radiologic parameters used to evaluate the abdominal X-rays. Sensitivities ranged from 73–92%, specificities ranged from 26–92%, and diagnostic accuracies ranged from 78–90%. Methods: This study involved a systematic review of English literature published between 2012 and 2022 covering children 2–18 years of age with a diagnosis of functional constipation in whom abdominal X-ray was performed. The databases searched include Medline, Embase, and Scopus. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) guidelines were followed. PROSPERO ID: CRD42022301833. Conclusions: There is insufficient evidence to support the use of abdominal X-ray as part of the diagnostic workup of functional constipation. More methodologically rigorous studies are needed to determine the utility of abdominal X-ray in the evaluation of functional constipation. The diagnosis of functional constipation should be based on history and clinical findings.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".