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The definition and classification of chronic kidney disease (CKD) have evolved over time, but current international guidelines define this condition as decreased kidney function shown by glomerular filtration rate (GFR) of less than 60 mL/min per 1·73 m2, or markers of kidney damage, or both, of at least 3 months duration, regardless of the underlying cause. Diabetes and hypertension are the main causes of CKD in all high-income and middle-income countries, and also in many low-income countries. Incidence, prevalence, and progression of CKD also vary within countries by ethnicity and social determinants of health, possibly through epigenetic influence. Many people are asymptomatic or have non-specific symptoms such as lethargy, itch, or loss of appetite. Diagnosis is commonly made after chance findings from screening tests (urinary dipstick or blood tests), or when symptoms become severe. The best available indicator of overall kidney function is GFR, which is measured either via exogenous markers (eg, DTPA, iohexol), or estimated using equations. Presence of proteinuria is associated with increased risk of progression of CKD and death. Kidney biopsy samples can show definitive evidence of CKD, through common changes such as glomerular sclerosis, tubular atrophy, and interstitial fibrosis. Complications include anaemia due to reduced production of erythropoietin by the kidney; reduced red blood cell survival and iron deficiency; and mineral bone disease caused by disturbed vitamin D, calcium, and phosphate metabolism. People with CKD are five to ten times more likely to die prematurely than they are to progress to end stage kidney disease. This increased risk of death rises exponentially as kidney function worsens and is largely attributable to death from cardiovascular disease, although cancer incidence and mortality are also increased. Health-related quality of life is substantially lower for people with CKD than for the general population, and falls as GFR declines. Interventions targeting specific symptoms, or aimed at supporting educational or lifestyle considerations, make a positive difference to people living with CKD. Inequity in access to services for this disease disproportionally affects disadvantaged populations, and health service provision to incentivise early intervention over provision of care only for advanced CKD is still evolving in many countries.

Chronic kidney disease (CKD) is a common and costly condition to treat. Economic evaluations of health care often incorporate patient preferences for health outcomes using utilities. The objective of this study was to determine pooled utility-based quality of life (the numerical value attached to the strength of an individual's preference for a specific health outcome) by CKD treatment modality. We conducted a systematic review, meta-analysis, and meta-regression of peer-reviewed published articles and of PhD dissertations published through 1 December 2010 that reported utility-based quality of life (utility) for adults with late-stage CKD. Studies reporting utilities by proxy (e.g., reported by a patient's doctor or family member) were excluded. In total, 190 studies reporting 326 utilities from over 56,000 patients were analysed. There were 25 utilities from pre-treatment CKD patients, 226 from dialysis patients (haemodialysis, n = 163; peritoneal dialysis, n = 44), 66 from kidney transplant patients, and three from patients treated with non-dialytic conservative care. Using time tradeoff as a referent instrument, kidney transplant recipients had a mean utility of 0.82 (95% CI: 0.74, 0.90). The mean utility was comparable in pre-treatment CKD patients (difference  =  -0.02; 95% CI: -0.09, 0.04), 0.11 lower in dialysis patients (95% CI: -0.15, -0.08), and 0.2 lower in conservative care patients (95% CI: -0.38, -0.01). Patients treated with automated peritoneal dialysis had a significantly higher mean utility (0.80) than those on continuous ambulatory peritoneal dialysis (0.72; p = 0.02). The mean utility of transplant patients increased over time, from 0.66 in the 1980s to 0.85 in the 2000s, an increase of 0.19 (95% CI: 0.11, 0.26). Utility varied by elicitation instrument, with standard gamble producing the highest estimates, and the SF-6D by Brazier et al., University of Sheffield, producing the lowest estimates. The main limitations of this study were that treatment assignments were not random, that only transplant had longitudinal data available, and that we calculated EuroQol Group EQ-5D scores from SF-36 and SF-12 health survey data, and therefore the algorithms may not reflect EQ-5D scores measured directly. For patients with late-stage CKD, treatment with dialysis is associated with a significant decrement in quality of life compared to treatment with kidney transplantation. These findings provide evidence-based utility estimates to inform economic evaluations of kidney therapies, useful for policy makers and in individual treatment discussions with CKD patients.

Deceased donor kidneys for transplantation are in most countries allocated preferentially to recipients who have limited co-morbidities. Little is known about the incremental health and economic gain from transplanting those with co-morbidities compared to remaining on dialysis. The aim of our study is to estimate the average and incremental survival benefits and health care costs of listing and transplantation compared to dialysis among individuals with varying co-morbidities. A probabilistic Markov model was constructed, using current outcomes for patients with defined co-morbidities treated with either dialysis or transplantation, to compare the health and economic benefits of listing and transplantation with dialysis. Using the current waiting time for deceased donor transplantation, transplanting a potential recipient, with or without co-morbidities achieves survival gains of between 6 months and more than three life years compared to remaining on dialysis, with an average incremental cost-effectiveness ratio (ICER) of less than $50,000/LYS, even among those with advanced age. Age at listing and the waiting time for transplantation are the most influential variables within the model. If there were an unlimited supply of organs and no waiting time, transplanting the younger and healthier individuals saves the most number of life years and is cost-saving, whereas transplanting the middle-age to older patients still achieves substantial incremental gains in life expectancy compared to being on dialysis. Our modelled analyses suggest transplanting the younger and healthier individuals with end-stage kidney disease maximises survival gains and saves money. Listing and transplanting those with considerable co-morbidities is also cost-effective and achieves substantial survival gains compared with the dialysis alternative. Preferentially excluding the older and sicker individuals cannot be justified on utilitarian grounds.

Background Cognitive impairment is common in people with chronic kidney disease (CKD) and associated with increased morbidity and mortality. Subtle changes can impact engagement with healthcare, comprehension, decision-making, and medication adherence. We aimed to systematically summarise evidence of cognitive changes in CKD. Methods We searched MEDLINE (March 2016) for cross-sectional, cohort or randomised studies that measured cognitive function in people with CKD (PROSPERO, registration number CRD42014015226). The CKD population included people with eGFR < 60 mL/min/1.73 m 2 , not receiving renal replacement therapy, in any research setting. We conducted a meta-analysis using random effects, expressed as standardised mean differences (SMD) with 95% confidence intervals (CI). Outcomes were performance in eight cognitive domains. Bias was assessed with the Newcastle-Ottawa Scale (NOS). Results We identified 44 studies reporting sufficient data for synthesis (51,575 participants). Mean NOS score for cohort studies was 5.8/9 and for cross-sectional 5.4/10. Studies were deficient in NOS outcome and selection due to poor methods reporting and in comparison group validity of demographics and chronic disease status. CKD patients (eGFR < 60 mL/min/1.73 m 2 ) performed worse than control groups (eGFR ≥ 60 mL/min/1.73 m 2 ) on Orientation & Attention (SMD –0.79, 95% CI, –1.44 to –0.13), Language (SMD –0.63, 95% CI, –0.85 to –0.41), Concept Formation & Reasoning (SMD –0.63, 95% CI, –1.07 to –0.18), Executive Function (SMD –0.53, 95% CI, –0.85 to –0.21), Memory (SMD –0.48, 95% CI, –0.79 to –0.18), and Global Cognition (SMD –0.48, 95% CI, –0.72 to –0.24). Construction & Motor Praxis and Perception were unaffected (SMD –0.29, 95% CI, –0.90 to 0.32; SMD –1.12, 95% CI, –4.35 to 2.12). Language scores dropped with eGFR (<45 mL/min/1.73 m 2 SMD –0.86, 95% CI, –1.25 to –46; 30 mL/min/1.73 m 2 SMD –1.56, 95% CI, –2.27 to –0.84). Differences in Orientation & Attention were greatest at eGFR < 45 mL/min/1.73 m 2 (SMD –4.62, 95% CI, –4.68 to –4.55). Concept Formation & Reasoning differences were greatest at eGFR < 45 mL/min/1.73 m 2 (SMD –4.27, 95% CI, –4.23 to –4.27). Differences in Executive Functions were greatest at eGFR < 30 mL/min/1.73 m 2 (SMD –0.54, 95% CI, –1.00 to –0.08). Conclusions Cognitive changes occur early in CKD, and skills decline at different rates. Orientation & Attention and Language are particularly affected. The cognitive impact of CKD is likely to diminish patients’ capacity to engage with healthcare decisions. An individual’s cognitive trajectory may deviate from average.

Systematic reviews should incorporate as much relevant evidence as possible to reduce bias and research waste and increase reliability of results. Clinical trials registers are a key resource for identifying potentially eligible studies, particularly those that are unpublished, and therefore searching these registers is mandated for best practice systematic reviews. However, the process of searching can be challenging and no clear and consistent guidance on how best to do this exists. This paper provides step-by-step guidance on how to conduct systematic searches for studies using clinical trials registers, with a case study to illustrate each step. The guidance encompasses where to search and how to formulate the search strategy, conduct the search, download results, screen records, obtain data, update searches, and report on these searches.

AbstractObjectiveTo evaluate sex differences in mortality among people with kidney failure compared with the general population.DesignPopulation based cohort study using data linkage.SettingThe Australian and New Zealand Dialysis and Transplant Registry (ANZDATA), which includes all patients receiving kidney replacement therapy in Australia (1980-2019) and New Zealand (1988-2019). Data were linked to national death registers to determine deaths and their causes, with additional details obtained from ANZDATA.ParticipantsOf 82 844 people with kidney failure, 33 329 were female (40%) and 49 555 were male (60%); 49 376 deaths (20 099 in female patients; 29 277 in male patients) were recorded over a total of 536 602 person years of follow-up.Main outcome measuresRelative measures of survival, including standardised mortality ratios, relative survival, and years of life lost, using general population data to account for background mortality (adjusting for country, age, sex, and year). Estimates were stratified by dialysis modality (haemodialysis or peritoneal dialysis) and for the subpopulation of kidney transplant recipients.ResultsFew differences in outcomes were found between male and female patients with kidney failure. However, compared with the general population, female patients with kidney failure had greater excess all cause deaths than male patients (female patients: standardised mortality ratio 11.3, 95% confidence interval 11.2 to 11.5, expected deaths 1781, observed deaths 20 099; male patients: 6.9, 6.8 to 6.9, expected deaths 4272, observed deaths 29 277). The greatest difference was observed among younger patients and those who died from cardiovascular disease. Relative survival was also consistently lower in female patients, with adjusted excess mortality 11% higher (95% confidence interval 8% to 13%). Average years of life lost was 3.6 years (95% confidence interval 3.6 to 3.7) greater in female patients with kidney failure compared with male patients across all ages. No major differences were found in mortality by sex for haemodialysis or peritoneal dialysis. Kidney transplantation reduced but did not entirely remove the sex difference in excess mortality, with similar relative survival (P=0.83) and years of life lost difference reduced to 2.3 years (95% confidence interval 2.2 to 2.3) between female and male patients.ConclusionsCompared with the general population, female patients had greater excess deaths, worse relative survival, and more years of life lost than male patients, however kidney transplantation reduced these differences. Future research should investigate whether systematic differences exist in access to care and possible strategies to mitigate excess mortality among female patients.

Individual participant data meta-analyses enable detailed checking of data quality and more complex analyses than standard study-level synthesis of summary data based on publications. However, there is limited existing guidance on the specific systematic checks that should be undertaken to confirm and enhance data quality for individual participant data meta-analyses and how to conduct these checks. We aim to address this gap by developing a checklist of items for data quality checking and cleaning to be applied to individual participant data meta-analyses of randomised trials. This study will comprise three phases: 1) a scoping review to identify potential checklist items; 2) two e-Delphi survey rounds among an invited panel of experts followed by a consensus meeting; and 3) pilot testing and refinement of the checklist, including development of an accompanying R-markdown program to facilitate its uptake.

Equity, diversity, and inclusion (EDI) are social constructs which when used in clinical trials, or clinical research broadly help generate the highest quality evidence for interventions in the populations most likely to benefit. However, the incorporation of these constructs is unclear and inconsistent. This scoping review sought to understand how EDI is applied in clinical trials with broader application across clinical research. We reviewed literature from PubMed and Google Scholar, selecting studies 1) published from 2000 to 2023, 2) literature which described concepts, tools, metrics, or frameworks, and 3) provided information on conceptualization, operationalization (measuring) or utilization (analyzing). Additionally, internet searches were conducted to identify websites of research partners such as government institutions, funders, regulators and publishers across the research lifecycle. Websites retrieved were included for our review of EDI consideration (either concepts or statements) outside but impacting upon the published literature. We reviewed 2385 titles and abstracts and included 75 (3%) in analyses. From gray literature searches of 269 identified key research partners, additional 49 records were included. Studies conceptualized EDI as interconnected rather than distinct constructs. These concepts were often reinforcing, such as efforts to enhance diversity which also promote equity and foster inclusion. Regarding operationalization, 12 frameworks, 20 tools/metrics were identified for EDI assessment across the research lifecycle. These metrics were primarily used for reporting EDI data, and utilization across research lifecycle remains limited. Among research partners, a third of publishers (6 of 20) had any EDI considerations; followed by 2 of 19 trial registries, 12 of 44 research funders, 7 of 60 journals, and none of ethics committee and data repositories reported statements on EDI. This review highlights that a range of EDI relevant tools, frameworks and metrics, each with their unique strengths and limitations. We found a wider adoption of EDI considerations by research partners is still lacking. Future research could explore the impact of different EDI criteria on trial outcomes and the generalizability of trial results. [Display omitted] •A scoping review explored EDI considerations by health partners across research lifecycle.•Identified tools, frameworks and metrics vary, each with their unique strengths and limitations.•Wider adoption of EDI considerations by health partners is still lacking.•Research could assess EDI criteria's impact on trial outcomes and generalisability.

For every patient with chronic kidney disease who undergoes renal-replacement therapy, there is one patient who undergoes conservative management of their disease. We aimed to determine the most important characteristics of dialysis and the trade-offs patients were willing to make in choosing dialysis instead of conservative care. We conducted a discrete choice experiment involving adults with stage 3–5 chronic kidney disease from eight renal clinics in Australia. We assessed the influence of treatment characteristics (life expectancy, number of visits to the hospital per week, ability to travel, time spent undergoing dialysis [i.e., time spent attached to a dialysis machine per treatment, measured in hours], time of day at which treatment occurred, availability of subsidized transport and flexibility of the treatment schedule) on patients' preferences for dialysis versus conservative care. Of 151 patients invited to participate, 105 completed our survey. Patients were more likely to choose dialysis than conservative care if dialysis involved an increased average life expectancy (odds ratio [OR] 1.84, 95% confidence interval [CI] 1.57–2.15), if they were able to dialyse during the day or evening rather than during the day only (OR 8.95, 95% CI 4.46–17.97), and if subsidized transport was available (OR 1.55, 95% CI 1.24–1.95). Patients were less likely to choose dialysis over conservative care if an increase in the number of visits to hospital was required (OR 0.70, 95% CI 0.56–0.88) and if there were more restrictions on their ability to travel (OR = 0.47, 95%CI 0.36–0.61). Patients were willing to forgo 7 months of life expectancy to reduce the number of required visits to hospital and 15 months of life expectancy to increase their ability to travel. Patients approaching end-stage kidney disease are willing to trade considerable life expectancy to reduce the burden and restrictions imposed by dialysis.

Background Cystatin C may better assess cardiovascular risk than serum creatinine for kidney function, but its accuracy may vary by sex. We evaluated sex differences in cardiac risk using estimated kidney function from either biomarker. Methods We included all adults from the UK Biobank without prior cardiac event who had kidney function and baseline data. We defined cardiac events and deaths using ICD-10 codes in hospital or death records. We fitted cause-specific Cox models to evaluate sex differences in cardiac outcomes using estimated glomerular filtration (mL/min/1.73m 2 ) from serum creatinine (eGFRCr), cystatin C (eGFRCys) and both (eGFRCr-Cys). Results Among 394,920 adults (55% female), 19,689 (9%) females and 28,540 (16%) males had cardiac events. In adjusted models, eGFRCys and eGFRCr-Cys showed stronger associations with increased cardiovascular risk in females than when using eGFRCr ( p  < 0.001). Females with eGFRCys 45–59 had elevated cardiac risk (HR 1.08, 95% CI 1.03–1.14) compared to males with eGFRCys 90–104—an effect not seen with eGFRCr or eGFRCr-Cys. eGFRCr showed a J-shaped association with cardiac risk, being increased in males but reduced in females when eGFRCr ≥ 105 (females: HR 0.65, 95% CI 0.61–0.69; males: HR 1.18, 95% CI 1.12–1.24 versus males with eGFRCr 90–104). The risk of cardiac events was more linear in adjusted models with eGFRCys. Conclusions Measurement of cystatin C improves estimation of cardiac risk associated with kidney function, particularly for females. Incorporating eGFRCys, rather than eGFRCr, into cardiovascular risk assessment may be more important for early detection and management of high-risk females with CKD.