Drug Database
AV

avapritinib

✓ Approved

Genetron Health · PDGFRA · Companion diagnostic

What is avapritinib?

avapritinib is a companion diagnostic developed by Genetron Health. It is approved for therapeutic indications via others.

Drug Profile

CompanyGenetron Health
Drug ClassCompanion diagnostic
Molecular TargetPDGFRA
RouteOthers
StatusApproved
Sources: ClinicalTrials.gov, Genetron Health

Mechanism of Action

Molecular Targets

avapritinib acts on 1 molecular target:

PDGFRAplatelet derived growth factor receptor alpha (PDGFR-2, CD140A)
Want deeper analysis?Noah AI can explain complex mechanisms and compare to similar drugs.

Therapeutic Indications

avapritinib is developed for 1 unique indication across 1 therapeutic area.

Therapeutic AreaConditionPhase
Neoplasms benign, malignant and unspecified (incl cysts and polyps)Uterine cancer✓ Approved

Related Research Articles

PubMedJournal of the American Academy of Audiology2026-09-20

Towards Policy Integration of Vestibular Management in Pediatric Hearing Health Care: Global Service Delivery Gaps with Relevance to Low-Income and Middle-Income Countries.

Khoza-Shangase Katijah K, Gina Ayanda A, Mbhele Sphilile S

Vestibular dysfunction (VD) is a common yet often overlooked comorbidity in children with hearing loss, particularly those with sensorineural hearing loss (SNHL), congenital anomalies, or cochlear implants. These challenges are global, but they are especially critical in low- and middle-income countries (LMICs), including South Africa, where diagnostic resources and service integration are limited. Motor development, gaze stability, school performance, and quality of life (QoL) are affected by VD, yet it is seldom included in pediatric hearing health-care frameworks or routine clinical practice. This review synthesizes global evidence of VD in children with hearing loss and examines how vestibular care is integrated into pediatric audiology with a focus on service delivery gaps and policy implications in LMIC contexts. A narrative review of peer-reviewed literature (2015-2025) was conducted using databases including PubMed, Scopus, and Web of Science. Twenty studies met the inclusion criteria and were thematically analyzed for prevalence, assessment and management practices, developmental impacts, and policy considerations. An estimated 20 to 85 percent of children with hearing loss, depending on diagnostic tools, age, and underlying etiology, are affected by VD, which contributes to delayed motor milestones, reduced balance control, learning challenges, and poorer psychosocial adjustment. Despite the prevalence and developmental impact of VD, vestibular care remains inconsistently implemented worldwide. Major gaps persist in pediatric-appropriate diagnostic protocols, rehabilitation strategies, workforce training, and policy integration. These limitations are most pronounced in LMICs, where audiology services are often constrained by limited infrastructure and competing health priorities. Integrating vestibular assessment and management into pediatric audiology represents a critical step toward comprehensive and equitable child hearing health care. Coordinated policy development, capacity building, and context-adapted clinical pathways are urgently required to close this gap globally. This review highlights the importance of incorporating vestibular considerations into pediatric audiology practice. Feasible screening and rehabilitation strategies may improve developmental outcomes, enhance educational participation, and strengthen more holistic and multidisciplinary models of care for children with hearing loss.

PMID 42763622
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PubMedEsophagus : official journal of the Japan Esophageal Society2026-09-20

Impact of educational pamphlet in achalasia care: education as therapy among Pakistani patients.

Abbas Sameen S, Akhtar Tayyab Saeed TS, Hameed Kiran K, Nisar Gul G et al.

Achalasia, a rare disease, requires symptomatic self-management that can be achieved by educating patients. Pakistan continues to struggle with low health literacy, resulting in a meagre understanding of disease management, for which educational materials have shown promising improvements in knowledge and symptom resolution. This study aims to investigate the impact of educational intervention on Pakistani achalasia patients, for their disease and associated symptoms management. A prospective observational study involving 84 Pakistani achalasia patients was conducted at Center for Liver and Digestive Diseases, Holy Family Hospital, Rawalpindi. Participants received educational pamphlet covering disease information, diagnostic tests, treatment options, and dietary recommendations. Baseline data, including demographic details and health measures, were collected, followed by an educational session. One month later, follow-up assessments evaluated changes in symptoms, HRQoL, and feasibility of pamphlet. Data analysis was performed using SPSS version 25.0. The educational pamphlets significantly improved health outcomes post-follow-up. Subgroup analysis suggested that intervention was broadly effective across demographic groups, while regression analysis confirmed that pamphlet intervention was strong predictor of symptom improvement (p < 0.001) and patient satisfaction. Correlation analyses revealed that higher education levels were associated with greater improvements in both Eckardt and ASQ scores, while employment status showed weak associations with health outcomes. The educational pamphlet had a significant impact on improving symptom management and patient satisfaction with achalasia, demonstrating its effectiveness in enhancing disease understanding and self-management. Future research should focus on the long-term effects and explore additional strategies to enhance disease self-management in diverse populations.

PMID 42763382
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PubMedDiagnosis (Berlin, Germany)2026-09-20

Diagnosis-related handoffs for inter-facility transfers to the pediatric intensive care unit.

Pantekidis Irene I, Pandiyan Poornima P, Singh Hardeep H, Landrigan Christopher P CP et al.

Inter-facility transfers to the pediatric intensive care unit (PICU) increase the risk of patient harm from communication breakdowns. We previously developed I-PASS-to-PICU, a structured inter-facility handoff program to improve information exchange during these transitions. However, it was not designed to optimize communication related to diagnosis (diagnostic handoff). This exploratory study evaluated how well I-PASS-to-PICU facilitated inter-facility diagnostic handoffs. Using mixed methods, we analyzed audio-recorded referral calls to a single PICU to characterize inter-facility diagnostic handoff communication before and after I-PASS-to-PICU implementation. Two pediatric intensivists trained to review calls indicated whether diagnosis-relevant information or activities were discussed. Discrepancies in review were resolved via consensus. Reviewers also provided qualitative observations on diagnosis-related discussions. Forty-four referral calls were reviewed (16 pre-and 28 post-I-PASS-to-PICU implementation). Compared with unstructured handoffs, I-PASS-to-PICU use did not result in statistically significant differences in the communication of diagnosis-related information in inter-facility handoffs. However, we observed some absolute differences; there were more calls using I-PASS-to-PICU in which illness severity was discussed (75 % vs. 50 %) and the primary diagnosis was stated by the referring clinician (68 % vs. 44 %) or receiving PICU physician (39 % vs. 25 %). Qualitative analysis revealed that shared mental models were more effectively created when primary diagnoses and diagnostic uncertainty were discussed. I-PASS-to-PICU may support aspects of the inter-facility diagnostic handoff but needs further revision to facilitate consistent discussion of diagnoses and diagnostic uncertainty. Future work will focus on redesigning and evaluating I-PASS-to-PICU for improving the diagnostic handoff during inter-facility PICU transfers.

PMID 42763795
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PubMedDiabetes, metabolic syndrome and obesity : targets and therapy2026-09-20

Metabolic Predictors and Diagnostic Performance of Fundus Autofluorescence for Diabetic Macular Edema: A Cross-Sectional Diagnostic Accuracy Study Using Swept-Source Optical Coherence Tomography as Reference Standard.

Amin Ramzi R, Pratama Adrian A, Ansyori Abdul Karim AK, Calisanie Mohammad Aulia Molid Ogest Putra MAMOP

To evaluate the diagnostic performance of fundus autofluorescence (FAF) imaging for detecting diabetic macular edema (DME) using swept-source optical coherence tomography (SS-OCT) as the reference standard, and to identify metabolic factors associated with FAF detection accuracy in patients with type 2 diabetes mellitus. This cross-sectional diagnostic accuracy study enrolled 120 eyes from 68 patients with type 2 diabetes mellitus at the Vitreoretina Subdivision, Department of Ophthalmology, RSUP Dr. Mohammad Hoesin, Palembang, Indonesia, between January 2024 and June 2025. All participants underwent comprehensive ophthalmic examination including FAF imaging and en face SS-OCT (DRI OCT Triton Plus, Topcon). Metabolic parameters including glycated hemoglobin (HbA1c), fasting lipid profile, body mass index (BMI), estimated glomerular filtration rate (eGFR), and diabetes duration were recorded. Diagnostic accuracy indices were calculated using 2×2 contingency tables. Multivariate logistic regression identified metabolic predictors of FAF detection concordance with SS-OCT. DME was present in 78 eyes (65.0%) by SS-OCT. FAF demonstrated sensitivity of 73.1% (95% CI: 61.8-82.5%), specificity of 76.2% (95% CI: 61.5-87.2%), positive predictive value of 85.1%, negative predictive value of 60.4%, positive likelihood ratio of 3.07, negative likelihood ratio of 0.35, and diagnostic odds ratio of 8.68. HbA1c ≥8.5% (OR 3.42, 95% CI: 1.28-9.14, p=0.014), diabetes duration ≥10 years (OR 2.87, 95% CI: 1.15-7.16, p=0.024), and BMI ≥30 kg/m2 (OR 2.31, 95% CI: 0.94-5.68, p=0.068) were independently associated with FAF-OCT concordance. Center-involved DME showed higher FAF sensitivity (82.4%) compared to non-center-involved DME (55.6%, p=0.012). FAF imaging demonstrates moderate diagnostic accuracy for DME detection, with performance significantly influenced by metabolic status and DME subtype. Integration of metabolic risk stratification may optimize FAF-based screening in diabetic populations.

PMID 42763671
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PubMedCurrent health sciences journal2026-09-20

The Role and Diagnostic Accuracy of Artificial Intelligence in Pulmonary Function Tests: A Systematic Review.

Orpwood Thomas T, Soica Irina-Lavinia IL

The rapid advancement of artificial intelligence (AI) has highlighted its potential as a supportive tool in pulmonary function test (PFT) interpretation given the inherent biological variation, inter-rater variability, lack of confidence in result interpretation and restricted access within resource-constrained settings. This study aims to systematically review the published literature on the diagnostic accuracy of AI-based interpretation of PFTs and evaluate its implications for current and future clinical practice in healthcare. After screening, forty-seven publications met the inclusion criteria and were analysed to create a narrative summary. Four main over-arching themes were identified from the available literature. AI appears to consistently outperform non-specialists in diagnostic accuracy of PFTs and showed a synergistic effect when used as an adjunct in both specialist and non-specialist settings. Using AI software also had greater diagnostic accuracy than clinicians when presented with suboptimal or limited clinical information and investigations. It was also observed that the implementation of AI can address the issue of inter-rater variability by giving more consultant interpretations. Chronic obstructive pulmonary disease diagnosis saw the greatest accuracy with other conditions such as obstructive sleep apnoea showing limited evidence for the introduction of AI as a diagnostic tool. The evidence suggests that AI has the potential to play a significant role in the future of healthcare but should be used as an adjunctive tool as opposed to an independent diagnostic decision maker. One such way it could be utilised is as a triage/screening tool to help bridge the gap between primary and secondary care.

PMID 42763768
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PubMedEuropean radiology2026-09-20

In vivo coronary stent evaluation using photon-counting computed tomography: diagnostic performance.

Lacaita Pietro G PG, Bilgeri Valentin V, Spitaler Philipp P, Kindl Benedikt B et al.

To assess the diagnostic performance of photon-counting computed tomography (PCCT) coronary angiography for the detection of in-stent restenosis (ISR) ≥ 50%, and image quality. 141 consecutive patients with coronary stents referred to coronary computed tomography angiography (CTA) were enrolled in this retrospective single-center study, using either PCCT or energy-integrating detector (EID)-CT. Image quality of the in-stent lumen (ISL) was graded using a 3-point scale as 2 = "excellent diagnostic", 1 = "limited diagnostic", or 0 = nondiagnostic. Coronary stents were assessed for ISR ≥ 50% compared to invasive coronary angiography (ICA), and quantitative image analysis was performed. 176 stents in 70 patients (age 73.64 ± 12.6, 27.1% women) who underwent PCCT were included and compared to a control group of 71 patients (126 stents) who underwent EID-CT. Subjective image quality scores were higher in stents assessed by PCCT compared with EID-CT (p < 0.001). The rate of nondiagnostic stents was lower (1.1% vs 46.8%, p < 0.001) with PCCT, while the proportion of stents excellent image quality was higher (70.5% vs 23%, p < 0.001). The diagnostic accuracy of PCCT (per-patient) for the detection of ISR ≥ 50% was 90.48% (71.09, 97.35), sensitivity 100% (64.57, 100), specificity 85.71% (60.06, 95.99), PPV 77.78% (45.26, 93.68), NPV 100% (75.75, 100), and per-stent: accuracy 88.52% (78.16, 94.33), sensitivity 100% (70.08, 100), specificity 86.54% (74.73, 93.32), PPV 56.25% (33.18, 76.90) and NPV 100% (92.13, 100). True positive ISR ≥ 50% showed a trend toward lower ISR/ISL ratios than false positives (mean, 0.35 vs 0.87). Image quality of PCCT for coronary stent evaluation is improved compared to EID-CT, and the accuracy for detection of ISR ≥ 50% is high. Question Does photon-counting CT improve the diagnostic accuracy for detection of in-stent restenosis (ISR) ≥ 50%, and image quality compared with energy-integrating detector (EID) CT? Findings Photon-counting CT provides higher image quality and a low rate of nondiagnostic stents (0.3%). For detecting ≥ 50% ISR, the diagnostic accuracy is high and the PPV is moderate. Clinical relevance Photon-counting computed tomography (PCCT) has the potential to overcome technical limitations of conventional energy-integrating CT in coronary stent assessment and could improve the reliability of non-invasive follow-up after percutaneous coronary intervention.

PMID 42763334
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