SynthesisEuropean journal of medical research2025
Accuracy of Raman spectroscopy in laryngeal carcinoma diagnosis: a meta-analysis.
Synthesis in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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4 authors.
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Abstract
backgroundThis study explores the accuracy of Raman spectroscopy in diagnosing laryngeal carcinoma.
methodsA comprehensive search was performed in PubMed, Web of Science, and Embase (retrieval deadline: March 2025) to locate studies that presented data on true positives (TP), false positives (FP), true negatives (TN), and false negatives (FN) regarding the use of Raman spectroscopy for diagnosing laryngeal carcinoma. Using either random or fixed-effects models, we computed pooled sensitivity, specificity, diagnostic odds ratio (DOR), and the area under the summary receiver operating characteristic (SROC) curve. The methodological quality was evaluated with QUADAS-2, and Deek's test was employed to assess publication bias.
resultsSeven studies involving 1076 samples in total were analyzed. The overall sensitivity and specificity were determined to be 0.88 (95% confidence interval [CI] 0.86-0.90) and 0.91 (95% CI 0.88-0.93), respectively. Positive likelihood ratios (PLR) and negative likelihood ratios (NLR) were calculated at 9.70 (95% CI 7.13-13.21) and 0.13 (95% CI 0.11-0.16), respectively, resulting in a diagnostic odds ratio (DOR) of 74.07 (95% CI 39.0-140.9). The summary receiver operating characteristic (SROC) curve demonstrated an area under the curve (AUC) of 0.95 (95% CI 0.94-0.98). Furthermore, subgroup analysis revealed significant improvements in specificity over time (p = 0.02), and no significant regional or algorithmic heterogeneity was found.
conclusionRaman spectroscopy exhibits remarkable diagnostic accuracy in detecting laryngeal carcinoma, with a pooled sensitivity of 88% and a specificity of 91%. This highlights its promise as a non-invasive supplement for diagnosis.
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