ArticleThe American journal of case reports2022
A 66-Year-Old Woman with Achondroplasia and Quadriparesis with an Ovarian Cyst Erroneously Diagnosed as Urinary Retention by an Automated Bladder Scan.
Article in The American journal of case reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 2 citations in OpenAlex.
- Portable Ultrasound Bladder Volume Measurement Over Entire Volume Range Using a Deep Learning Artificial Intelligence Model in a Selected Cohort: A Proof of Principle Study.Neurourology and urodynamics · 2025Trial
- A Woman With a Distended Abdomen.Journal of the American College of Emergency Physicians open · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Automated bladder scanning has become a principal tool in the assessment and management of chronically debilitated patients residing in skilled nursing facilities, hospices, and acute inpatient settings. To a large extent, the bladder scan, generally performed by nursing staff, has replaced physical examination while addressing the differential diagnoses of anuria or voiding disturbances that require consideration of urinary catheterization. Health care providers can quickly master this easily performed technique, and currently, due to confidence in the bladder scan finding, physical examination with suprapubic palpation and percussion may be carelessly omitted. The case description presented here illustrates how not performing a physical examination can lead to misdiagnosis caused by misinterpretation of bladder scan findings. CASE REPORT A 66-year-old, quadriparetic, chronically ventilated female patient with achondroplasia underwent repeated hospital referrals and bladder catheterizations for presumed flaccid, neurogenic bladder with urinary retention. This postulated diagnosis was based on occasional reports of urinary catheter obstruction as well as on automated bladder scanning indicating a markedly distended bladder. However, the bladder could not be drained by insertion of urinary catheters. Eventually, a proper physical examination excluded the presence of suprapubic fullness compatible with distended bladder and contradicting bladder scan findings, prompting re-examining an overlooked evaluation of computed tomography that reported a huge ovarian cyst. The patient was found to have intact voiding capabilities and is now weaned from the catheter. CONCLUSIONS This case and the literature review underscore drawbacks in automated bladder scanning. This technique should be used as an adjunctive measure rather than a replacement for a physical examination in the evaluation of voiding disturbances, especially when there are discrepancies between bladder scan findings and the volume of urine drained by catheterization.
Indexed as
Identifiers
What 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.