Evidence map›Paper›PMID 39455937›Full record

SynthesisBMC nephrology2024

Efficacy of continuous glucose monitoring in people living with diabetes and end stage kidney disease on dialysis: a systematic review.

Yimeng Zhang, Pushpa Singh, Kavitha Ganapathy, Vijayan Suresh, Muhammad Ali Karamat, Jyoti Baharani, Srikanth Bellary

Abstract readSystematic Review
In one paragraph

Synthesis in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
  4. Observational
  5. Review
  6. Review
  7. Review
  8. Review
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

7 authors.

Yimeng ZhangDepartment of Nephrology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Pushpa SinghInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.
Kavitha GanapathyDepartment of Diabetes and Endocrinology, Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK.
Vijayan SureshDepartment of Nephrology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Muhammad Ali KaramatDepartment of Diabetes and Endocrinology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Jyoti BaharaniDepartment of Nephrology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Srikanth BellarySchool of Life and Health Sciences, Metabolic Medicine, Aston Triangle, Aston University, Birmingham, B4 74T, UK. s.bellary@aston.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with diabetes on dialysis experience wide variations in glucose levels and an increased risk of hypoglycaemia. Due to the inaccuracies of HbA1c in dialysis patients, JBDS-IP and KDIGO recommend the use of continuous glucose monitoring (CGM). We conducted a systematic review to examine the current evidence for CGM use and its impact on clinical outcomes in patients with diabetes on dialysis.

methodsA search of MEDLINE(R) ALL, Ovid Emcare, Journals@Ovid Full Text and Embase databases were conducted. Clinical or observational trials in adults with Type 1(T1D) or Type 2 (T2D) diabetes on dialysis and CGM intervention reporting on glycaemic outcomes were included.

resultsOf the 936 citations identified, 49 duplicates were removed. 887 citations were screened by title and abstract. 9 full texts were reviewed and a further 7 excluded due to duplications or failure to meet to selection criteria. Data was extracted for 2 studies, both prospective before-and-after interventional studies with no control group. Joubert et al. (2015) showed results for 15 participants with T1D. Mean CGM glucose level decreased from 8.37mmol/L at baseline to 7.7mmol/L at the end of the CGM period (p < 0.05) while HbA1c decreased from 6.9 to 6.5% (p < 0.05) during the same period. Mean CGM was lower on dialysis days (7.68mmol/L vs. 7.8mmol/L, p < 0.05). Képénékian et al. (2014) reported on data from 29 T2D patients. Following a 3 month CGM-adapted insulin regimen, HbA1c decreased from 8.4% at baseline to 7.6% (p < 0.01) by the end of study. Mean CGM values decreased from 9.9mmol/L to 8.9mmol/L (p = 0.05) and the frequency of glucose values > 10mmol/L decreased from 41 to 30% (p < 0.05), without a significant increase in hypoglycaemia frequency. Both studies were deemed to be of 'good' quality.

conclusionEvidence demonstrating the benefits of CGM in patients with diabetes receiving dialysis is lacking. There is a need for well-designed randomised controlled trials to ascertain the benefits of this technology in this patient group. TRAIL REGISTRATION: PROSPERO registration number: CRD42023371635, https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=371635 .

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringKidney Failure, ChronicRenal DialysisContinuous Glucose MonitoringDiabetes MellitusDiabetes Mellitus, Type 2Diabetic NephropathiesGlycated HemoglobinHumansHypoglycemiaTreatment OutcomeBlood GlucoseGlycated HemoglobinDiabetes mellitusDiabetic kidney diseaseDialysisHaemodialysisPeritoneal dialysisSystematic review

Identifiers

PMID39455937
PMCPMC11515242

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.