Predatory journals and their practices present a conundrum for systematic reviewers and evidence synthesisers of health research: A qualitative descriptive study

Predatory journals are a blemish on scholarly publishing and academia and the studies published within them are more likely to contain data that is false. The inclusion of studies from predatory journals in evidence syntheses is potentially problematic due to this propensity for false data to be included. To date, there has been little exploration of the opinions and experiences of evidence synthesisers when dealing with predatory journals in the conduct of their evidence synthesis. In this paper, the thoughts, opinions, and attitudes of evidence synthesisers towards predatory journals and the inclusion of studies published within these journals in evidence syntheses were sought. Focus groups were held with participants who were experienced evidence synthesisers from JBI (previously the Joanna Briggs Institute) collaboration. Utilising qualitative content analysis, two generic categories were identified: predatory journals within evidence synthesis, and predatory journals within academia. Our findings suggest that evidence synthesisers believe predatory journals are hard to identify and that there is no current consensus on the management of these studies if they have been included in an evidence synthesis. There is a critical need for further research, education, guidance, and development of clear processes to assist evidence synthesisers in the management of studies from predatory journals.</p

Recommended antimicrobial therapy for common inpatient infections: a comparative review of guidelines across 51 hospital trusts in England

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Background The number of different antimicrobial recommendations between hospital trusts for the same indication in England is unknown. Aim We aimed to evaluate the heterogeneity of antimicrobial recommendations for seven common inpatient infections across hospital trusts in England and evaluate changes to recommendations following introduction of national (National Institute for Healthcare and Excellence, NICE) and international (WHO) antimicrobial guidelines. Methods Guidelines published on the MicroGuide smartphone application were collected from December 2017 to February 2018 and re-evaluated between December 2019 and February 2020. The following indications were assessed: community-acquired pneumonia (CAP) CURB65 score ≥3, hospital-acquired pneumonia (HAP), infective exacerbation of chronic obstructive pulmonary disease (iCOPD), cellulitis, uncomplicated urinary tract infection (uUTI), intra-abdominal infection (IAI) and sepsis of unknown source (SUS). On follow-up, compliance against WHO WATCH antibiotic and NICE recommendations was evaluated. Results Guidelines were obtained predominantly from England. Antibiotic regimens between hospitals became increasingly diverse across indications in the following order: uUTI, cellulitis, iCOPD, CAP, HAP, IAI and SUS. A piperacillin/tazobactam-based regimen was recommended in HAP (59%), SUS (39%) and IAI (30%). After 2 years, 107 changes were made to 357 antibiotic regimen recommendations; the overall number of regimens using piperacillin–tazobactam and WHO WATCH antibiotics remained similar. Compliance of recommendations with NICE guidelines as follows: iCOPD (100% adherent), uUTI (98%), cellulitis (90%), CAP (43%) and HAP (27%). Conclusion The heterogeneity of antibiotic recommendations increased as the indicated infection was more severe, with broader underlying bacterial causes. Piperacillin–tazobactam remains favoured in antibiotic regimens, despite not recommended in WHO and NICE guidance

Scratches from the Past: Inflationary Archaeology through Features in the Power Spectrum of Primordial Fluctuations

International audienceInflation may provide unique insight into the physics at the highest available energy scales that cannot be replicated in any realistic terrestrial experiment. Features in the primordial power spectrum are generically predicted in a wide class of models of inflation and its alternatives, and are observationally one of the most overlooked channels for finding evidence for non-minimal inflationary models. Constraints from observations of the cosmic microwave background cover the widest range of feature frequencies, but the most sensitive constraints will come from future large-scale structure surveys that can measure the largest number of linear and quasi-linear modes