MyMedR

Displaying all 4 publications

Abstract:

Sort:

STROCSS 2021: Strengthening the reporting of cohort, cross-sectional and case-control studies in surgery

Mathew G, Agha R, Albrecht J, Goel P, Mukherjee I, Pai P, et al.

Int J Surg, 2021 Dec;96:106165.
PMID: 34774726 DOI: 10.1016/j.ijsu.2021.106165

INTRODUCTION: Strengthening The Reporting Of Cohort Studies in Surgery (STROCSS) guidelines were developed in 2017 in order to improve the reporting quality of observational studies in surgery and updated in 2019. In order to maintain relevance and continue upholding good reporting quality among observational studies in surgery, we aimed to update STROCSS 2019 guidelines.
METHODS: A STROCSS 2021 steering group was formed to come up with proposals to update STROCSS 2019 guidelines. An expert panel of researchers assessed these proposals and judged whether they should become part of STROCSS 2021 guidelines or not, through a Delphi consensus exercise.
RESULTS: 42 people (89%) completed the DELPHI survey and hence participated in the development of STROCSS 2021 guidelines. All items received a score between 7 and 9 by greater than 70% of the participants, indicating a high level of agreement among the DELPHI group members with the proposed changes to all the items.
CONCLUSION: We present updated STROCSS 2021 guidelines to ensure ongoing good reporting quality among observational studies in surgery.
STROCSS 2019 Guideline: Strengthening the reporting of cohort studies in surgery

Agha R, Abdall-Razak A, Crossley E, Dowlut N, Iosifidis C, Mathew G, et al.

Int J Surg, 2019 Nov 06;72:156-165.
PMID: 31704426 DOI: 10.1016/j.ijsu.2019.11.002

INTRODUCTION: The STROCSS guideline was developed in 2017 to improve the reporting quality of observational studies in surgery. Building on its impact and usefulness, we sought to update the guidelines two years after its publication.
METHODS: A steering group was formed to review the existing guideline and propose amendments to the 17-item checklist. A Delphi consensus exercise was utilised to determine agreement across a list of proposed modifications to the STROCSS 2017 guideline. An expert panel of 46 surgeons were invited to assess the proposed updates via Google Forms.
RESULTS: The response rate was 91% (n = 42/46). High agreement was reached across all the items and the guideline was finalised in the first round. The checklist maintained 17-items, with modifications primarily considered to improve content and readability.
CONCLUSIONS: The STROCSS 2019 guideline is hereby presented as a considered update to improve reporting of cohort, cross-sectional and case-control studies in surgery.
Fulltext The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts

Hudson LN, Newbold T, Contu S, Hill SL, Lysenko I, De Palma A, et al.

Ecol Evol, 2014 Dec;4(24):4701-35.
PMID: 25558364 DOI: 10.1002/ece3.1303

Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - http://www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.
Fulltext The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

Hudson LN, Newbold T, Contu S, Hill SL, Lysenko I, De Palma A, et al.

Ecol Evol, 2017 Jan;7(1):145-188.
PMID: 28070282 DOI: 10.1002/ece3.2579

The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)-has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.