data: article: 2 rows where where is-referenced-by-count = 9 sorted by subject descending

2 rows where is-referenced-by-count = 9 sorted by subject descending

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Link	rowid	title	DOI	URL	created	subject ▲	references-count	is-referenced-by-count	ISSN	container-title	abstract	author_number	orcids	names	award_numbers	funder_names	funder_dois
15	15	["Comparative effectiveness of treatment options for plantar heel pain: a systematic review with network meta-analysis"]	10.1136/bjsports-2017-098998	http://dx.doi.org/10.1136/bjsports-2017-098998	2019-01-21T15:05:26Z	["Physical Therapy, Sports Therapy and Rehabilitation", "Orthopedics and Sports Medicine", "General Medicine"]	62	9	["0306-3674", "1473-0480"]	British Journal of Sports Medicine	<jats:sec><jats:title>Objective</jats:title><jats:p>To evaluate the comparative effectiveness of current treatment options for plantar heel pain (PHP).</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>Systematic review and network meta-analysis (NMA).</jats:p></jats:sec><jats:sec><jats:title>Data sources</jats:title><jats:p>Medline, EMBASE, CINAHL, AMED, PEDro, Cochrane Database, Web of Science and WHO Clinical Trials Platform were searched from their inception until January 2018.</jats:p></jats:sec><jats:sec><jats:title>Study selection</jats:title><jats:p>Randomised controlled trials (RCTs) of adults with PHP investigating common treatments (ie, corticosteroid injection, non-steroidal anti-inflammatory drugs, therapeutic exercise, orthoses and/or extracorporeal shockwave therapy (ESWT)) compared with each other or a no treatment, placebo/sham control.</jats:p></jats:sec><jats:sec><jats:title>Data extraction and analysis</jats:title><jats:p>Data were extracted and checked for accuracy and completeness by pairs of reviewers. Primary outcomes were pain and function. Comparative treatment effects were analysed by random effects NMA in the short term, medium term and long term. Relative ranking of treatments was assessed by surface under the cumulative ranking probabilities (0–100 scale).</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Thirty-one RCTs (total n=2450 patients) were included. There was no evidence of inconsistency detected between direct and indirect treatment comparisons in the networks, but sparse data led to frequently wide CIs. Available evidence does not suggest that any of the commonly used treatments for the management of PHP are better than any other, although corticosteroid injections, alone or in combination with exercise, and ESWT were ranked most likely to be effective for the management of short-term, medium-term and long-term pain or function; placebo/sham/control appeared least likely to be effective; and exercise appeared to only be beneficial for …	8	["http://orcid.org/0000-0002-5064-6446", "http://orcid.org/0000-0002-7703-727X", "http://orcid.org/0000-0002-7248-6703"]	["Opeyemi O Babatunde", "Amardeep Legha", "Chris Littlewood", "Linda S Chesterton", "Martin J Thomas", "Hylton B Menz", "Danielle van der Windt", "Edward Roddy"]	[]	["National Health and Medical Research Council", "National Institute for Health Research"]	["10.13039/501100000925", "10.13039/501100000272"]
16	16	["Development of a consensus core dataset in juvenile dermatomyositis for clinical use to inform research"]	10.1136/annrheumdis-2017-212141	http://dx.doi.org/10.1136/annrheumdis-2017-212141	2017-10-30T16:15:10Z	["Immunology", "General Biochemistry, Genetics and Molecular Biology", "Immunology and Allergy", "Rheumatology"]	49	9	["0003-4967", "1468-2060"]	Annals of the Rheumatic Diseases	<jats:sec><jats:title>Objectives</jats:title><jats:p>This study aimed to develop consensus on an internationally agreed dataset for juvenile dermatomyositis (JDM), designed for clinical use, to enhance collaborative research and allow integration of data between centres.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>A prototype dataset was developed through a formal process that included analysing items within existing databases of patients with idiopathic inflammatory myopathies. This template was used to aid a structured multistage consensus process. Exploiting Delphi methodology, two web-based questionnaires were distributed to healthcare professionals caring for patients with JDM identified through email distribution lists of international paediatric rheumatology and myositis research groups. A separate questionnaire was sent to parents of children with JDM and patients with JDM, identified through established research networks and patient support groups. The results of these parallel processes informed a face-to-face nominal group consensus meeting of international myositis experts, tasked with defining the content of the dataset. This developed dataset was tested in routine clinical practice before review and finalisation.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>A dataset containing 123 items was formulated with an accompanying glossary. Demographic and diagnostic data are contained within form A collected at baseline visit only, disease activity measures are included within form B collected at every visit and disease damage items within form C collected at baseline and annual visits thereafter.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Through a robust international process, a consensus dataset for JDM has been formulated that can capture disease activity and damage over time. This dataset can be incorporated into national and international collaborative efforts, including existing clinical research databases.</jats:p></jats…	23	["http://orcid.org/0000-0002-5400-9911"]	["Liza J McCann", "Clarissa A Pilkington", "Adam M Huber", "Angelo Ravelli", "Duncan Appelbe", "Jamie J Kirkham", "Paula R Williamson", "Amita Aggarwal", "Lisa Christopher-Stine", "Tamas Constantin", "Brian M Feldman", "Ingrid Lundberg", "Sue Maillard", "Pernille Mathiesen", "Ruth Murphy", "Lauren M Pachman", "Ann M Reed", "Lisa G Rider", "Annet van Royen-Kerkof", "Ricardo Russo", "Stefan Spinty", "Lucy R Wedderburn", "Michael W Beresford"]	[]	["Arthritis Research UK"]	["10.13039/501100000341"]

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