ArticleTherapeutic advances in endocrinology and metabolism2014
Medical apps in endocrine diseases - hide and seek.
Article in Therapeutic advances in endocrinology and metabolism, 2014. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Content Analysis of Apps for Growth Monitoring and Growth Hormone Treatment: Systematic Search in the Android App Store.JMIR mHealth and uHealth · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesQuantitative review and categorization of available endocrinology related mobile apps for the iOS platform (Apple®) and outline of search strategies to identify appropriate mobile apps for this field.
methodsA total of 80 endocrinology related search terms were collected and grouped into 8 main categories covering different areas of endocrinology. These terms were then used to perform comprehensive searches in three categories of Apple's app store, namely 'Medicine', 'Health and Fitness', and 'Reference'.
resultsAltogether, matches were found for only 33 of the 80 collected endocrinology related search terms; the majority of matches were found in the medical category, followed by matches for the health and fitness (27/33), and reference (16/33) categories. Restricting the search to these categories significantly helped in discriminating between health related apps and those having another purpose. The distribution of apps per category roughly matches what one can expect considering available data for incidence and prevalence of corresponding endocrinological conditions. Apps matching terms belonging to the spectrum of glucose homeostasis disorders are the most common. For conditions where patients do not have to constantly monitor their condition, apps tend to have a reference or educational character, while for conditions that require a high level of involvement from patients, there are proportionally more apps for self-management. With a single exception, the identified apps had not undergone regulation, and information about the data sources, professional backgrounds, and reliability of the content and integrated information sources was rare.
conclusionsWhile applying a good search strategy is important for finding apps for endocrinology related problems, users also need to consider whether the app they have found respects all necessary criteria regarding reliability, privacy and data protection before they place their trust in it.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.