ArticleThe Journal of clinical endocrinology and metabolism2015
Commentary: Launch of a quality improvement network for evidence-based management of uncommon pediatric endocrine disorders: Turner syndrome as a prototype.
Article in The Journal of clinical endocrinology and metabolism, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 8 citations in OpenAlex.
- Diagnostic and therapeutic considerations in Turner syndrome.Annals of pediatric endocrinology & metabolism · 2017Review
Corrections and comments
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Authors and funding
9 authors at 8 institutions in 1 country.
Funding
Abstract
backgroundTraditional, hypothesis-oriented research approaches have thus far failed to generate sufficient evidence to achieve consensus about the management of children with many endocrine disorders, partly because of the rarity of these disorders and because of regulatory burdens unique to research in children.
objectiveThe Pediatric Endocrine Society is launching a quality improvement network in spring 2015 for the management of pediatric endocrine disorders that are relatively uncommon in any single practice and/or for which there is no consensus on management.
designThe first of the quality improvement programs to be implemented seeks to improve the care of 11- to 17-year-old girls with Turner syndrome who require initiation of estrogen replacement therapy by providing a standardized clinical assessment and management plan (SCAMP) for transdermal estradiol treatment to induce pubertal development. The SCAMP algorithm represents a starting point within current best practice that is meant to undergo refinement through an iterative process of analysis of deidentified data collected in the course of clinical care by a network of pediatric endocrinologists.
conclusionIt is anticipated that this program will not only improve care, but will also result in actionable data that will generate new research hypotheses and changes in management of pediatric endocrine disorders.
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