We use cookies

Our website uses essential cookies and, with your consent, additional cookies to measure performance and improve our services. Cookie Policy.

You can change your choice at any time.

MMedXYNews
HomeVideos
MedXY AI/MedXY News/Section: Emergency Medicine

Comparative Diagnostic Accuracy of RIPASA and Modified Alvarado Scores in Acute Appendicitis: Insights from an Indian Tertiary Centre

MedXY Editorial Team•Aug 7, 2026•Emergency Medicine
Diagnostic accuracySurgical emergencyModified Alvarado scoreRIPASA scoreacute appendicitis

Highlight

  • The RIPASA score demonstrated higher sensitivity (94.6%) and better overall diagnostic discrimination (AUC 0.921) compared to the Modified Alvarado Score (MAS) in an Indian tertiary care setting.

  • Modified Alvarado Score showed higher specificity (83.3%) than RIPASA (66.7%), implying fewer false positives but more missed cases.

  • The study involved 62 patients undergoing appendectomy, with histopathological examination (HPE) as the diagnostic gold standard.

  • RIPASA’s improved diagnostic performance suggests its utility in high-prevalence Asian populations where advanced imaging is not routinely accessible.

Study Background

MedXY registered readers

Sign in free to continue reading

Create or use your MedXY account to unlock the complete article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

Related articles

Open language-specific specialty feeds and department pages.

Exploring the Impact of Patient-Physician Sex Concordance on Diagnostic Accuracy in Primary Care: Insights from a National Randomized SurveyThis study found that patient-physician sex concordance does not influence diagnostic accuracy in primary care, but female physicians consistently outperform male counterparts in diagnosing complex conditions such as POTS and syphilis, highAug 25, 2026AI-ECG for Detecting Structural Heart Disease in the Community: Evaluating Real-World Applicability in the PREVUE-VALVE StudyThe PREVUE-VALVE Study demonstrates that AI-ECG models developed in hospital settings show reduced diagnostic accuracy when applied to community populations with lower disease prevalence and milder structural heart disease, underscoring theAug 21, 2026Evaluating Antibody Detection Methods in Myasthenia Gravis: Insights from the ADAM StudyThe ADAM Study demonstrates superior diagnostic accuracy of live cell-based assays over fixed cell-based and ELISA tests for detecting AChR antibodies in myasthenia gravis, highlighting important clinical implications for antibody testing sAug 13, 2026
Loading comments...
MedXY briefing

Get the free newsletter

Evidence-led clinical news, trends, and analysis—delivered to your inbox.

Ask MedXY AI

Most popular

Intimate Health
Five Benefits for Women Continuing Sexual Activity After Menopause
Intimate Health
Why Some Women Have a Strong Sex Drive—And Why Men Shouldn't Worry About It
Nursing & care
How often should a couple have sex?
Intimate Health
Classic Intimacy Recommendations: How to Help Women Reach Orgasm and Enjoy Mutual Pleasure
Intimate Health
What Makes a Woman "Physiologically Addicted" Is Never Money, But These Two Relationship Qualities
© 2026 MedXY
Contact usAbout usPrivacy PolicyMedXY story
Advancing Myasthenia Gravis Diagnosis: The Superior Accuracy of Cell-Based Assays in Antibody Detection
The ADAM study reveals that live and fixed cell-based assays outperform ELISA in detecting AChR and MuSK antibodies, offering enhanced diagnostic accuracy for myasthenia gravis, particularly in ocular cases.
Aug 12, 2026
Pathology and Genetics in a Global Cohort of Parkinsonian DisordersThis study analyzes clinicopathological and genetic correlations in Parkinsonian disorders across diverse ancestries, revealing diagnostic challenges, genetic influences, and ancestry-related pathological variations.Aug 12, 2026
AMBUSH-AI: Advancing Burn Depth Diagnosis with Artificial Intelligence and Ultrasound ImagingThis article explores AMBUSH-AI, a novel AI-driven system utilizing ultrasound modalities to accurately predict burn wound depth, improving diagnostic accuracy beyond current clinical standards and potentially guiding optimal surgical decisAug 4, 2026