Evidence map›Paper›PMID 38313918›Full record

ReviewCureus2024

Cardiac Magnetic Resonance Imaging Findings in Patients With Chronic Kidney Disease and End-Stage Kidney Disease: A Systematic Review and Meta-Analysis.

Deepak Chandramohan, Rhoshini Rajasekaran, Raghunandan Konda, Ashwini Pujari, Sreekant Avula, Megan Bell, Sujith K Palleti, Apoorv Deotare, Roopa Naik, Atul Bali and 3 more

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. The relationship between native T1 and mortality in patients requiring maintenance haemodialysis, using cardiac magnetic resonance imaging.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Article
  6. Review
  7. 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

13 authors at 10 institutions in 2 countries.

Deepak ChandramohanNephrology, University of Alabama at Birmingham, Birmingham, USA.
Rhoshini RajasekaranGeneral Medicine, PSG Institute of Medical Sciences and Research, Coimbatore, IND.
Raghunandan KondaNephrology, University of Alabama at Birmingham, Birmingham, USA.
Ashwini PujariNephrology, University of Alabama at Birmingham, Birmingham, USA.
Sreekant AvulaDiabetes, Endocrinology, and Metabolism, University of Minnesota, Minneapolis, USA.
Megan BellLibraries, University of Alabama at Birmingham, Birmingham, USA.
Sujith K PalletiNephrology, Louisiana State University Health Sciences Center, Shreveport, USA.
Apoorv DeotareNephrology, Montgomery Kidney Specialists, Montgomery, USA.
Roopa NaikMedicine, Geisinger Commonwealth School of Medicine, Scranton, USA.
Atul BaliInternal Medicine/Nephrology, Geisinger Medical Center, Danville, USA.
Prathap SimhadriInternal Medicine/Nephrology, AdventHealth, Florida State University College of Medicine, Daytona Beach, USA.
Harkesh AroraHospital Medicine, Lovelace Medical Center, Albuquerque, USA.
Nihar JenaCardiovascular Medicine, Wayne State University, Pontiac, USA.
University of Alabama at Birmingham · USAdventHealth Daytona Beach · USGeisinger Health System · USGeisinger Medical Center · USLouisiana State University Health Sciences Center Shreveport · USLovelace Medical Center · USMontgomery General Hospital · USPSG Institute of Medical Sciences & Research · INUniversity of Minnesota · USWayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this systematic review and meta-analysis, we explored the utilization of cardiac magnetic resonance imaging (CMR) to detect fibrotic changes secondary to uremic cardiomyopathy during the early stages of chronic kidney disease (CKD) and in patients with end-stage kidney disease (ESKD). Uremic myocardial fibrosis can lead to arrhythmia and heart failure, and it is important to detect these changes. CMR offers a noninvasive way to characterize the severity of cardiac remodeling. A comprehensive search of multiple electronic databases was conducted. Studies were divided according to scanner field strength (1.5 or 3 Tesla). The random effects model was used to calculate the pooled mean, 95% confidence interval (CI), standard error, and standardized mean difference (SMD). The I2 statistic was used to assess the heterogeneity between study-specific estimates. The search retrieved 779 studies. From these, 20 studies met the inclusion criteria and had 642 CKD patients (mean age of 56.8 years; 65.2% males; mean estimated glomerular filtration rate (eGFR) of 33 mL/min/1.73 m2) and 658 ESKD patients on dialysis (mean age of 55.6 years; 63.3% males; mean dialysis duration of 3.47 years). CKD patients had an increased left ventricular mass index (LVMi) compared to controls, with an SMD of 0.37 (95% CI: 0.20-0.54; I2 0%; p-value <0.05). ESKD patients also had increased LVMi compared to controls, SMD 0.88 (95% CI: 0.35-1.41; I2 79.1%; p-value 0.001). Myocardial fibrosis assessment using T1 mapping showed elevated values; the SMD of native septal T1 values between CKD and controls was 1.099 (95% CI: 0.73-1.46; I2 33.6%; p-value <0.05), and the SMD of native septal T1 values between ESKD patients and controls was 1.12 (95% CI: 0.85-1.38; I2 33.69%; p-value <0.05). In conclusion, patients with CKD and ESKD with preserved left ventricular ejection fraction (LVEF) have higher LVMi and T1 values, indicating increased mass and fibrosis. T1 mapping can be used for the early detection of cardiomyopathy and as a risk stratification tool. Large, randomized trials are needed to confirm these findings and determine the effect of long-term dialysis on cardiac fibrosis.

Indexed as

cardiovascular magnetic resonancechronic kidney diseaseend-stage kidney diseasemyocardial fibrosist1 mapping

Identifiers

PMID38313918
PMCPMC10838180
OpenAlexW4390577426

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.