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Peer Review of “Assessment of SARC-F Sensitivity for Probable Sarcopenia Among Community-Dwelling Older Adults: Cross-Sectional Questionnaire Study”

Peer Review of “Assessment of SARC-F Sensitivity for Probable Sarcopenia Among Community-Dwelling Older Adults: Cross-Sectional Questionnaire Study”

It is acceptable if it is used for estimation or prediction, such as death, but an area under the curve of 0.77 may be too low as an index for diagnosis and discrimination. The Methods describe too few details, and Table 1 provides too little background information. Ultimately, the conclusions that can be drawn from the results should be revised. The authors have attempted to revise the manuscript to the best of their ability, but even so, this study seems to lack important points.

Anonymous

JMIRx Med 2025;6:e77582

Authors’ Response to Peer Reviews of “Assessment of SARC-F Sensitivity for Probable Sarcopenia Among Community-Dwelling Older Adults: Cross-Sectional Questionnaire Study”

Authors’ Response to Peer Reviews of “Assessment of SARC-F Sensitivity for Probable Sarcopenia Among Community-Dwelling Older Adults: Cross-Sectional Questionnaire Study”

It is acceptable if it is used for estimation or prediction, such as death, but an area under the curve (AUC) of 0.77 may be too low as an index for diagnosis and discrimination. Response: We appreciate the reviewer’s concern about the AUC value. We emphasize that our intention was to evaluate SARC-F as an initial screening tool—not a definitive diagnostic test. An AUC of 0.77 is appropriate and aligns with values reported in comparable sarcopenia screening studies.

David Propst, Lauren Biscardi, Tim Dornemann

JMIRx Med 2025;6:e77497

Assessment of SARC-F Sensitivity for Probable Sarcopenia Among Community-Dwelling Older Adults: Cross-Sectional Questionnaire Study

Assessment of SARC-F Sensitivity for Probable Sarcopenia Among Community-Dwelling Older Adults: Cross-Sectional Questionnaire Study

If strength levels meet the criteria for sarcopenia, muscle quality testing is conducted to confirm the diagnosis [3,6]. Next, the severity of sarcopenia is determined using a physical performance test [3,6]. Despite Rosenberg [8] coining the term “sarcopenia” in 1989 and the development of the ICD-10 code M62.84 in 2016 [9], a recent survey found that only 20% of doctors are aware of sarcopenia, a condition that can lead to falls, fractures, disability, and chronic diseases [10].

David Propst, Lauren Biscardi, Tim Dornemann

JMIRx Med 2025;6:e54475

Salivary MicroRNAs as Potential Noninvasive Biomarkers for the Diagnosis of Nasopharyngeal Carcinoma: Protocol for a Scoping Review

Salivary MicroRNAs as Potential Noninvasive Biomarkers for the Diagnosis of Nasopharyngeal Carcinoma: Protocol for a Scoping Review

This is due to the majority of cases being diagnosed at advanced clinical stages and the high treatment failure rates associated with late diagnosis [5]. Treatment for NPC at an early stage has a much better prognosis compared to the advanced stages [6]. Therefore, early detection is crucial in managing NPC [7]. Micro RNAs (mi RNAs) are small molecules consisting of nucleotides with a single strand. These small RNA molecules regulate protein production from messenger RNA (m RNA) [8].

Anton Sony Wibowo, Sagung Rai Indrasari, Camelia Herdini, Dewajani Purnomosari, Sulis Ernawati

JMIR Res Protoc 2025;14:e69484

Impact of a Novel Electronic Medical Record–Integrated Electronic Form (Provider Asthma Assessment Form) and Severe Asthma Algorithm in Primary Care: Single-Center, Pre- and Postobservational Study

Impact of a Novel Electronic Medical Record–Integrated Electronic Form (Provider Asthma Assessment Form) and Severe Asthma Algorithm in Primary Care: Single-Center, Pre- and Postobservational Study

Recommendations for best-practice asthma diagnosis and management are disseminated to primary care providers through the publication of clinical guidelines. In Canada, the Canadian Thoracic Society (CTS) evidence-based guidelines state that best-practice diagnosis is based on a compatible clinical history and objective evidence of asthma or a specialist diagnosis [3].

Matheson L McFarlane, Alison Morra, Delanya Podgers, David Barber, M Diane Lougheed

JMIR Form Res 2025;9:e74043

Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study

Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study

Furthermore, advanced imaging modalities and genomic data can be costly, with limited accessibility, and lack diversity and representativeness in samples, which could impact timely and accurate diagnosis for all individuals affected by EOCRC or widen already present disparities in patient outcomes. In contrast to imaging and genomic data, structured data from the electronic health record (EHR) offers a more accessible and cost-effective data source for initial research.

Chengkun Sun, Erin Mobley, Michael Quillen, Max Parker, Meghan Daly, Rui Wang, Isabela Visintin, Ziad Awad, Jennifer Fishe, Alexander Parker, Thomas George, Jiang Bian, Jie Xu

JMIR Cancer 2025;11:e64506

The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study

The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study

Individuals with normal circulatory findings and with no earlier diagnosis of diabetes or peripheral artery disease (PAD) were assigned to the healthy control group (n=98). All patients with diabetes, with or with no peripheral circulatory disturbance, were assigned to the group with diabetes (n=98). It is important to note that the group with diabetes did not have a visible foot ulcer. Approximately 61% (119/196) of participants were female, with a mean age of 39.2 (SD 15.5) years.

Meshari F Alwashmi, Mustafa Alghali, AlAnoud AlMogbel, Abdullah Abdulaziz Alwabel, Abdulaziz S Alhomod, Ibrahim Almaghlouth, Mohamad-Hani Temsah, Amr Jamal

JMIR Diabetes 2025;10:e65209

Implementation of a Quality Improvement and Clinical Decision Support Tool for Cancer Diagnosis in Primary Care: Process Evaluation

Implementation of a Quality Improvement and Clinical Decision Support Tool for Cancer Diagnosis in Primary Care: Process Evaluation

However, suboptimal follow-up and management of abnormal test results have been shown to contribute to delays in diagnosis [10]. Inadequate follow-up of abnormal test results may occur in the case of diagnostic errors, but is also influenced by the general practitioners’ (GPs) experience and training; perceptions of cancer care and investigations; patient characteristics; and health system pressures [11,12].

Sophie Chima, Barbara Hunter, Javiera Martinez-Gutierrez, Natalie Lumsden, Craig Nelson, Dougie Boyle, Kaleswari Somasundaram, Jo-Anne Manski-Nankervis, Jon Emery

JMIR Cancer 2025;11:e65461