Evaluation of spin in the abstracts of systematic reviews and meta-analyses related to the treatment of proximal humerus fractures.

BACKGROUND: Research has shown that many physicians rely solely on abstracts to make clinical decisions. However, many abstracts have been shown to be misleading. The primary objective of this study was to identify the prevalence of spin - bias towards particular results - within the abstracts of systematic reviews and meta-analyses pertaining to the treatment of proximal humerus fractures, one of the most common osteoporotic fractures among elderly patients. METHODS: We systematically searched MEDLINE and Embase databases to identify systematic reviews and meta-analyses examining the treatment of proximal humerus fractures. Screening and data extraction occurred in a masked, duplicate fashion. The nine most severe types of spin that occur within abstracts were extracted along with study characteristics, including journal recommendations to adhere to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) and year in which the review was performed, to identify potential associations. We subsequently explored the association between spin and the methodological quality of a systematic review using the revised A MeaSurement Tool to Assess systematic Reviews (AMSTAR 2) appraisal instrument. RESULTS: Our search retrieved 505 articles, of which 73 systematic reviews met inclusion criteria. We found that 34.2% (25/73) of the included systematic reviews contained spin. Spin type 3 (selective reporting of or overemphasis on efficacy outcomes or analysis favoring the beneficial effect of the experimental intervention) was the most common type identified (12/73, 16.4%). Three spin types were not identified in any of the abstracts. Spin was 3.2 (OR 3.2; 95% CI, 1.02-10.02) times more likely to be present in systematic reviews published in journals recommending adherence to PRISMA. Furthermore, the odds of an abstract containing spin was 1.25 (OR 1.25; 95% CI, 1.02-1.52) times more likely to be present in systematic reviews for each year after 2000. No other study characteristics were associated with spin. The methodological quality of 24 studies were rated as "critically low" (32.9%), 14 were "low" (19.2%), 28 were "moderate" (38.4%), and 7 were "high" (9.6%), but these findings were not associated with spin. CONCLUSION: Spin was present in systematic review abstracts regarding treatment of proximal humerus fractures. Measures such as education on the subject of spin and improved reporting standards should be implemented to increase awareness and reduce incidence of spin in abstracts. LEVEL OF EVIDENCE OF THE STUDY PERFORMED: Basic Science Study; Research Methodology.

Intraneural Synovial Cyst of the Common Peroneal Nerve: An Unusual Cause of Foot Drop with Four-Year Follow-Up.

In our case report, we describe a 55-year-old male patient with isolated foot drop due to an intraneural synovial ganglion. We successfully treated the lesion with decompression via epineurotomy combined with primary division of the recurrent articular branch of the common peroneal nerve (CPN). Compression neuropathies of the common peroneal nerve arise from a variety of causes. Intrinsic compression due to intraneural ganglion cysts of the CPN is rare. Previous reports of simple decompression of the cystic fluid have resulted in recurrence. The unified articular theory describes a pathway for fluid to fill from the proximal tibiofibular joint into the CPN via a recurrent articular branch. In our case, we divide this articular branch which we feel prevents recurrence.

Label-free detection of multiple bacterial pathogens using light-scattering sensor.

Technologies for rapid detection and classification of bacterial pathogens are crucial for securing the food supply. This report describes a light-scattering sensor capable of real-time detection and identification of colonies of multiple pathogens without the need for a labeling reagent or biochemical processing. Bacterial colonies consisting of the progeny of a single parent cell scatter light at 635 nm to produce unique forward-scatter signatures. Zernike moment invariants and Haralick descriptors aid in feature extraction and construction of the scatter-signature image library. The method is able to distinguish bacterial cultures at the genus and species level for Listeria, Staphylococcus, Salmonella, Vibrio, and Escherichia with an accuracy of 90-99% for samples derived from food or experimentally infected animal. Varied amounts of exopolysaccharide produced by the bacteria causes changes in phase modulation distributions, resulting in strikingly different scatter signatures. With the aid of a robust database the method can potentially detect and identify any bacteria colony essentially instantaneously. Unlike other methods, it does not destroy the sample, but leaves it intact for other confirmatory testing, if needed, for forensic or outbreak investigations.