ArticleMedicine2020
Factors associated with fat stranding on computed tomography in acute appendicitis.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 5 citations in OpenAlex.
- Application of Artificial Neural Network Models to Differentiate Between Complicated and Uncomplicated Acute Appendicitis.Journal of medical systems · 2023Article
- Periappendiceal fat-stranding models for discriminating between complicated and uncomplicated acute appendicitis: a diagnostic and validation study.World journal of emergency surgery : WJES · 2021Article
- Phlegmonous Appearance in the Ipsilateral Paracardiac Fat without Paracardiac Lymph Node Enlargement on Chest CT Favors the Diagnosis of Pleural Tuberculosis over Malignant Pleural Effusion.Diagnostics (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To determine which factor is associated with presence of fat stranding sign for acute appendicitis on computed tomography (CT).This study reviewed the CT imaging of adults with proven acute appendicitis at a single center from January 1, 2015 to December 31, 2019. Logistic regression models were used to investigate the association between clinical characteristics and fat stranding sign. Receiver operating characteristic (ROC) curve analysis was used to determine the cutoff value that helped predict the presence of fat stranding on CT.In total, 413 patients were included. Age of ≥40 years (OR: 3.10; 95% CI, 2.02-4.74; P < .0001), body mass index of ≥23 kg/m (OR: 2.86; 1.89-4.34; P < .0001), white blood cell count of ≥10,000/μl (OR: 1.77; 1.05-2.99; P = .0316), and C-reactive protein level of ≥2.4 mg/dl (OR: 3.17; 1.97-5.08; P < .0001) were significant factors predicting fat stranding on CT. The ROC analysis with above 4 factors showed an area under the curve of 0.76 (0.71-0.80).Body habitus, advanced age, and elevated inflammatory marker levels were independent in predicting fat stranding for patients with acute appendicitis.
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.