SynthesisBMC nephrology2019
Quality assessment of clinical practice guidelines for chronic kidney disease: a systematic review.
Synthesis in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Characteristics and quality of clinical practice guidelines for diabetic kidney disease: a systematic review.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2024Pooled it
- Recommendations of high-quality clinical practice guidelines related to the process of starting dialysis: A systematic review.PloS one · 2022Pooled it
- Article
- Reporting quality of chronic kidney disease practice guidelines according to the RIGHT statement: a systematic analysis.Therapeutic advances in chronic disease · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChronic kidney disease (CKD) is a worldwide public health problem. Clinical practice guidelines (CPGs) are being developed and implemented in order to improve clinical practice related to the detection and treatment of CKD. The objective of our study was to evaluate the quality of CPGs regarding the CKD and to examine whether there are factors which influence their quality.
methodsA systematic search was conducted to identify all CPGs regarding the early diagnosis and treatment of CKD. The CPGs quality were evaluated by three reviewers using the AGREE II instrument to decide if the guidelines are recommended for their use in clinical practice.
resultsIn total, 13 CPGs were identified: five from America, six from Europe, one from Asia, and one from Oceania. Five CPGs were recommended for their use in clinical practice; since all their domains achieved the medium or high category. Furthermore, six CPGs were recommended with modifications, as the stakeholders' involvement, applicability, and editorial independence domains were evaluated as low category. These domains, as well as the rigor of the development domain, reached the very low category in those CPGs that were not recommended for its use in clinical practice. In all CPGs, the domains with the lowest average were the stakeholder involvement and the applicability. When comparing the domains of the CPGs according to the origin, type of developer group, the checklist used during the development and the publication period, a significantly higher average in the domain stakeholder involvement was found in the CPGs from Asia and Oceania compared to the ones in Latin America. Additionally, a significantly higher average in the applicability domain was found in the CPGs developed by CPGs developer organizations compared to those developed by medical societies.
conclusionsIn total, 85% of the CPGs regarding CKD were recommended or recommended with modifications. The stakeholder involvement and applicability domains are assessed in the low category, which might affect the CPGs implementation. In order to save resources in low- and middle-income countries, an adaptation of the recommended CPGs should be considered.
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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.