Cardiological Society of India Practice Guidelines for Angiography in Patients with Renal Dysfunction

Bhandari, Suman; Sethi, K K; Tyagi, Sanjay; Gupta, Rajiv; Tiwari, S. C.; Mehrotra, Saurabh; Seth, Ashok; Guha, Santanu; Deb, Prasun; Dasbiswas, Arup; Mohanan, P.P.; Venugopal, K.; Sinha, Nakul; Pinto, Brian; Banerjee, Amal; Sengottuvelu, G.; Mehran, Roxana; Collough, Peter Mc

doi:10.1016/j.ihj.2012.11.007

Cited by 3 publications

(4 citation statements)

References 167 publications

(133 reference statements)

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“…We finally included 11 guidelines. [20][21][22][23][24][25][26][27][28][29][30] The PRISMA flowchart 31 is shown in Figure 1 . Reasons for exclusion are documented in Online Appendix 3.…”

Section: Search Resultsmentioning

confidence: 99%

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Clinical practice guidelines in India: Quality appraisal and the use of evidence in their development

Bhaumik

Jagadesh

Ellatar

et al. 2018

J Evidence Based Medicine

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“…We finally included 11 guidelines. [20][21][22][23][24][25][26][27][28][29][30] The PRISMA flowchart 31 is shown in Figure 1 . Reasons for exclusion are documented in Online Appendix 3.…”

Section: Search Resultsmentioning

confidence: 99%

“…Full text of two of these records was not available in public domain, but the final version of one of these, which was due public release on August 2016 was made available to the research team while the other guideline was still under development. We finally included 11 guidelines . The PRISMA flowchart is shown in Figure .…”

Section: Resultsmentioning

confidence: 99%

Clinical practice guidelines in India: Quality appraisal and the use of evidence in their development

Bhaumik

Jagadesh

Ellatar

et al. 2018

J Evidence Based Medicine

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“…The compromised flow delays the tubule glomerular feedback, probably resulting from increased tubular fluid viscosity, and impairs GFR. Although various properties of iodinated contrast agents, such as osmolality, ionic strength, viscosity and iodine content, have been implicated in renal toxicity, osmolality is the principal factor [25,32].…”

Section: Statement 4 Consistent Evidence From Cultured Tubular Cells mentioning

confidence: 99%

Methods to Address Computed Tomography-Related Risk Factors in Oncology Patients: An Expert Opinion Based on Current Evidence

2018

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Background: The present paper is intended to be a practical guide organized by statements describing methods to reduce risks related to CT examinations in cancer patients. Methods: A panel of radiologists, oncologists and nephrologists were selected based on their publication records in the field and expertise. Ten clinical questions, which were derived from clinical needs and an integration of all the committee members’ suggestions, were stated. The modified Delphi approach was used; it involved a detailed literature review and the collective judgement of experts, including electronic and face-to-face discussions. Results: Ten statements were derived from expert opinions based on the current literature, recently developed guidelines and technological advancements. Each statement is discussed in a short paragraph reporting the current key evidence. Conclusion: This paper addresses the clinical implications of performing numerous CT examinations in patients with cancer, providing clinicians with information regarding methods to reduce risk factors in this patient population.

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“…[16][17][18][19][20] However, there are different opinions on the recommendations for CIN prediction models within the guidelines. The Cardiological Society of India practice guidelines in 2012 21 recommended using the Mehran risk score 16 to screen for high-risk patients. In contrast, CIN prediction models were not recommended in either the European Society of Urogenital Radiology Contrast Medium Safety Committee guidelines in 2018 14 or the guideline on the use of iodinated contrast media in patients with kidney disease in 2020.…”

Section: Introductionmentioning

confidence: 99%

Endorsement of the TRIPOD statement and the reporting of studies developing contrast-induced nephropathy prediction models for the coronary angiography/percutaneous coronary intervention population: a cross-sectional study

Miao

Pan

et al. 2022

BMJ Open

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ObjectiveClear and specific reporting of a research paper is essential for its validity and applicability. Some studies have revealed that the reporting of studies based on the clinical prediction models was generally insufficient based on the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) checklist. However, the reporting of studies on contrast-induced nephropathy (CIN) prediction models in the coronary angiography (CAG)/percutaneous coronary intervention (PCI) population has not been thoroughly assessed. Thus, the aim is to evaluate the reporting of the studies on CIN prediction models for the CAG/PCI population using the TRIPOD checklist.DesignA cross-sectional study.MethodsPubMed and Embase were systematically searched from inception to 30 September 2021. Only the studies on the development of CIN prediction models for the CAG/PCI population were included. The data were extracted into a standardised spreadsheet designed in accordance with the ‘TRIPOD Adherence Assessment Form’. The overall completeness of reporting of each model and each TRIPOD item were evaluated, and the reporting before and after the publication of the TRIPOD statement was compared. The linear relationship between model performance and TRIPOD adherence was also assessed.ResultsWe identified 36 studies that developed CIN prediction models for the CAG/PCI population. Median TRIPOD checklist adherence was 60% (34%–77%), and no significant improvement was found since the publication of the TRIPOD checklist (p=0.770). There was a significant difference in adherence to individual TRIPOD items, ranging from 0% to 100%. Moreover, most studies did not specify critical information within the Methods section. Only 5 studies (14%) explained how they arrived at the study size, and only 13 studies (36%) described how to handle missing data. In the Statistical analysis section, how the continuous predictors were modelled, the cut-points of categorical or categorised predictors, and the methods to choose the cut-points were only reported in 7 (19%), 6 (17%) and 1 (3%) of the studies, respectively. Nevertheless, no relationship was found between model performance and TRIPOD adherence in both the development and validation datasets (r=−0.260 and r=−0.069, respectively).ConclusionsThe reporting of CIN prediction models for the CAG/PCI population still needs to be improved based on the TRIPOD checklist. In order to promote further external validation and clinical application of the prediction models, more information should be provided in future studies.

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Cardiological Society of India Practice Guidelines for Angiography in Patients with Renal Dysfunction

Cited by 3 publications

References 167 publications

Clinical practice guidelines in India: Quality appraisal and the use of evidence in their development

Clinical practice guidelines in India: Quality appraisal and the use of evidence in their development

Methods to Address Computed Tomography-Related Risk Factors in Oncology Patients: An Expert Opinion Based on Current Evidence

Endorsement of the TRIPOD statement and the reporting of studies developing contrast-induced nephropathy prediction models for the coronary angiography/percutaneous coronary intervention population: a cross-sectional study

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