Evidence map›Paper›PMID 39735688›Full record

ArticleCanadian journal of kidney health and disease2024

Incidence, Prediction, and Prevention of Fractures After Kidney Transplantation: A Systematic Review Protocol.

Andrea C Cowan, Karla Solo, Victoria Lebedeva, Yasaman Mohammadi Kamalabadi, Maha El-Shimy, Aayushi Joshi, Edith Ginika Olalike, Misa Tanaka, Adam G R Klotz, Hatoun Wahid Elazhary and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Canadian journal of kidney health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Andrea C CowanDepartment of Medicine, Western University, London, ON, Canada.ORCID https://orcid.org/0000-0002-9480-969X
Karla SoloLondon Health Sciences Centre, London, ON, Canada.
Victoria LebedevaLondon Health Sciences Centre, London, ON, Canada.
Yasaman Mohammadi KamalabadiDepartment of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.
Maha El-ShimyDepartment of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.ORCID https://orcid.org/0000-0002-0829-5726
Aayushi JoshiDepartment of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.
Edith Ginika OlalikeDepartment of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.
Misa TanakaDepartment of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.
Adam G R KlotzFaculty of Science, Western University, London, ON, Canada.
Hatoun Wahid ElazharyDepartment of Medicine, Western University, London, ON, Canada.
Antonia ZhuDepartment of Medicine, Western University, London, ON, Canada.
Adam ForsterDepartment of Medicine, Western University, London, ON, Canada.
Shafaz VeettilDepartment of Medicine, Western University, London, ON, Canada.
Sachin G NairDepartment of Pharmacy Practice, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Maria Fernanda Servin MartinezFaculty of Medicine, Autonomous University of San Luis Potosi, Mexico.
Dweeti NayakPrecision AQ, New Yor, NY USA.
V Nikhila PriyaIndian Institute of Public Health, Hyderabad, India.
Catherine WellanIndependent Research Specialist, Monroe, WA, USA.ORCID https://orcid.org/0009-0009-5080-6081
Diana Maria Cespedes ArcaniDepartment of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Pavel S RoshanovDepartment of Medicine, Western University, London, ON, Canada.ORCID https://orcid.org/0000-0003-3908-1955

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kidney transplant recipients are uniquely exposed to the disordered bone metabolism associated with chronic kidney disease beginning before transplantation followed by chronic corticosteroid use after transplantation. Previous efforts to synthesize the rapidly accruing evidence regarding estimation and management of fracture risk in kidney transplant recipients are outdated and incomplete. Objective: To synthesize the evidence informing the overall incidence, patient-specific risk prediction, and methods of prevention of fractures in patient living with a kidney transplant. Design: Three systematic reviews will address the following questions: What is the overall incidence of skeletal fracture after kidney transplantation (review 1)? Which prediction models and individual prognostic factors predict fracture in kidney transplant recipients (review 2)? and How effective are different antifracture interventions at preventing fracture or improving surrogate markers of bone health in kidney transplant recipients (review 3)? Setting: Cohort studies (reviews 1 and 2) and randomized trials (review 2) with a mean/median follow-up ≥12 months beginning after transplant. Review 3: randomized trials or new-user cohort studies with concurrent controls evaluating the effect of antifracture interventions including bisphosphonates, calcium supplementation, cinacalcet, denosumab, parathyroid hormone analogues, parathyroidectomy, raloxifene, romosozumab, steroid withdrawal or minimization protocols after kidney transplant, vitamin D (both active and nutritional), other antifracture interventions. Patients: Adult kidney transplant recipients in studies published after the year 2000. Measurements: Review 1: incidence rate or cumulative risk of fracture. Review 2: For prediction models, measures of discrimination (eg, c-statistic), calibration (calibration curves, observed:expected ratios), and net benefit (ie, from decision curve analysis); for individual prognostic factors, relative measures of association with fractures. Review 3: measures of treatment effect on fractures and on surrogate markers of bone health (eg, bone mineral density, trabecular bone score). Methods: We searched MEDLINE, Embase, and the Cochrane Library using subject headings and keywords related to kidney transplant and fractures. Pairs of reviewers will screen records independently in duplicate to identify studies relevant to one or more of the 3 reviews and categorize each study accordingly. Single reviewers will extract data and evaluate risk of bias for each included study using one of the following tools as appropriate: the Quality of Prognostic Studies tool, the Prediction model Risk Of Bias ASsessment tool, the Risk Of Bias In Non-randomised Studies-of Interventions tool, and the Cochrane Risk of Bias 2.0 tool. A second reviewer will independently verify. We will synthesize study-level summary estimates by random-effects meta-analysis for review 1, by vote counting and random-effects meta-analysis in review 2, and by random effects pairwise and, if feasible, network meta-analysis in review 3. We will summarize findings according to latest guidance of the Grading of Recommendations Assessment, Development, and Evaluation Working Group applicable to each review. Limitations: Reliance on published studies is susceptible to publication bias, particularly in studies of prediction (review 2) and of treatment effects (review 3). Conclusions: This review will provide an evidence update on 3 topics of relevance to patients, clinicians, guideline developers, and researchers.

Indexed as

fracturekidney transplantationmeta-analysisprognosissystematic review

Identifiers

PMID39735688
PMCPMC11672528

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.