Comparison between endoscopic and microscopic butterfly cartilage graft inlay tympanoplasty: a systematic review and meta-analysis.

PURPOSE: The purpose of this study was to compare the effectiveness of endoscopic and microscopic approaches for butterfly cartilage graft inlay tympanoplasty regarding anatomical and hearing outcomes through a systematic review and meta-analysis. METHODS: A search of PubMed, Embase, MEDLINE, and Virtual Health Library was performed from inception to July 3rd, 2021, using keywords, such as tympanoplasty, cartilage graft, and inlay technique. Data from articles that met inclusion criteria were extracted by two authors independently. The PRISMA statement was followed. RoB-2 and ROBINS-I tools were used to assess risk of bias. The primary outcome was tympanic membrane closure rate. The secondary outcome was improvement of the air-bone gap. RESULTS: Five studies were included, one randomized clinical trial and four retrospective cohorts, in which a total of 318 patients were included. Graft take rate was 91.3% in the endoscopic group and 93.6% in the microscopic group (RR 0.98; 95% CI 0.93-1.03; I2 0%; P = 0.68). Four studies provided data about the secondary outcome, all showing significant reductions in air-bone gap, ranging from 5.7 to 11.0 in the endoscope group and from 5.8 to 11.6 in the microscope group, with a mean difference between groups of 0.85 (95% CI - 0.79 to 2.48). CONCLUSION: Although the overall evidence of the included studies was low, endoscopic and microscopic butterfly cartilage graft inlay tympanoplasties have similar results on anatomical and hearing outcomes, making the selection between such approaches an individual choice for the surgeon.

Comparison of Inlay Cartilage Butterfly and Underlay Temporal Fascia Tympanoplasty.

Objective: To systematically review the results of inlay cartilage butterfly tympanoplasty and standard underlay temporal fascia tympanoplasty for anatomic and functional end points. Data Sources: PubMed, Embase, MEDLINE, and Virtual Health Library (VHL/Lilacs) databases were searched from inception through April 2, 2021. No restrictions on language, publication year, or publication status were applied. Review Methods: The meta-analysis included data from articles that met inclusion criteria and were extracted by 2 authors independently. The PRISMA statement was followed. Risk of Bias 2.0 and Newcastle-Ottawa Scale were used to assess risk of bias. The primary outcome was tympanic membrane closure rate. The secondary outcome was improvement of the air-bone gap. Results: Ten studies were included, 9 cohort studies and 1 randomized clinical trial, with 577 patients. The graft take rate was 82.8% in the butterfly cartilage inlay tympanoplasty group and 85.2% in the temporal fascia underlay tympanoplasty group (relative risk, 1.01; 95% CI, 0.93-1.11; I 2 = 42%, P = .08). The air-bone gap reduction ranged from 6.1 to 11.28 in the butterfly cartilage inlay group and from 5.2 to 12.66 in the temporal fascia underlay group, with a mean difference between groups of -2.08 (95% CI, -3.23 to -0.94; I 2 = 58%, P = .04), favoring temporal fascia underlay. Conclusion: The 2 tympanoplasty techniques analyzed here produced similar results in terms of successful reconstruction of the tympanic membrane and reduction in the air-bone gap. Neither age nor follow-up length of time influenced outcomes.

Semantic similarity, predictability, and models of sentence processing.

The effects of word predictability and shared semantic similarity between a target word and other words that could have taken its place in a sentence on language comprehension are investigated using data from a reading time study, a sentence completion study, and linear mixed-effects regression modeling. We find that processing is facilitated if the different possible words that could occur in a given context are semantically similar to each other, meaning that processing is affected not only by the nature of the words that do occur, but also the relationships between the words that do occur and those that could have occurred. We discuss possible causes of the semantic similarity effect and point to possible limitations of using probability as a model of cognitive effort.

Frequency of Basic English Grammatical Structures: A Corpus Analysis.

Many recent models of language comprehension have stressed the role of distributional frequencies in determining the relative accessibility or ease of processing associated with a particular lexical item or sentence structure. However, there exist relatively few comprehensive analyses of structural frequencies, and little consideration has been given to the appropriateness of using any particular set of corpus frequencies in modeling human language. We provide a comprehensive set of structural frequencies for a variety of written and spoken corpora, focusing on structures that have played a critical role in debates on normal psycholinguistics, aphasia, and child language acquisition, and compare our results with those from several recent papers to illustrate the implications and limitations of using corpus data in psycholinguistic research.

Why is that? Structural prediction and ambiguity resolution in a very large corpus of English sentences.

Previous psycholinguistic research has shown that a variety of contextual factors can influence the interpretation of syntactically ambiguous structures, but psycholinguistic experimentation inherently does not allow for the investigation of the role that these factors play in natural (uncontrolled) language use. We use regression modeling in conjunction with data from the British National Corpus to measure the amount and specificity of the information available for disambiguation in natural language use. We examine the Direct Object/Sentential Complement ambiguity and the closely related issue of complementizer use in sentential complements, and find that both ambiguity resolution and complementizer use can be predicted from contextual information.

Verb subcategorization frequencies: American English corpus data, methodological studies, and cross-corpus comparisons.

Verb subcategorization frequencies (verb biases) have been widely studied in psycholinguistics and play an important role in human sentence processing. Yet available resources on subcategorization frequencies suffer from limited coverage, limited ecological validity, and divergent coding criteria. Prior estimates of verb transitivity, for example, vary widely with corpus size, coverage, and coding criteria This article provides norming data for 281 verbs of interest to psycholinguistic research, sampled from a corpus of American English, along with a detailed coding manual. We examine the effect on transitivity bias of various coding decisions and methods of computing verb biases.