Evidence map›Paper›PMID 38172835›Full record

SynthesisBMC nephrology2024

Mortality and mode of dialysis: meta-analysis and systematic review.

Subhash Chander, Sindhu Luhana, Fnu Sadarat, Om Parkash, Zubair Rahaman, Hong Yu Wang, Fnu Kiran, Abhi Chand Lohana, Fnu Sapna, Roopa Kumari

Open access · goldAbstract readMeta-AnalysisSystematic 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 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
10.5field-weighted citation impact, top 1% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Observational
  4. Observational
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Heart Failure-Focus on Kidney Replacement Therapy: Why, When, and How?International journal of molecular sciences · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Failing kidneys: renal replacement therapies in the ICU.Trauma surgery & acute care open · 2024
    Review
  16. 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

10 authors at 6 institutions in 2 countries.

Subhash ChanderDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, USA. subhash.chander@mssm.edu.
Sindhu LuhanaDepartment of Medicine, AGA khan University Hospital, Karachi, Pakistan.
Fnu SadaratDepartment of Medicine, University at Buffalo, New York, USA.
Om ParkashDepartment of Medicine, Montefiore Medical Centre, Wakefield, New York, USA.
Zubair RahamanDepartment of Medicine, University at Buffalo, New York, USA.
Hong Yu WangDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, USA.
Fnu KiranDepartment of Pathology, Northwell Health Staten Island University Hospital, New York, USA.
Abhi Chand LohanaDepartment of Medicine, WVU, Camden Clark Medical Centre, Parkersburg, WV, USA.
Fnu SapnaDepartment of Pathology, Albert Einstein School of Medicine, Montefiore Medical Centre, New York, USA.
Roopa KumariDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, USA.
Icahn School of Medicine at Mount Sinai · USMontefiore Medical Center · USUniversity at Buffalo, State University of New York · USAga Khan University Hospital · PKArk Medical Center · USStaten Island University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe global use of kidney replacement therapy (KRT) has increased, mirroring the incidence of acute kidney injury and chronic kidney disease. Despite its growing clinical usage, patient outcomes with KRT modalities remain controversial. In this meta-analysis, we sought to compare the mortality outcomes of patients with any kidney disease requiring peritoneal dialysis (PD), hemodialysis (HD), or continuous renal replacement therapy (CRRT).

methodsThe investigation was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). PubMed (MEDLINE), Cochrane Library, and Embase databases were screened for randomized trials and observational studies comparing mortality rates with different KRT modalities in patients with acute or chronic kidney failure. A random-effects model was applied to compute the risk ratio (RR) and 95% confidence intervals (95%CI) with CRRT vs. HD, CRRT vs. PD, and HD vs. PD. Heterogeneity was assessed using I

resultsFifteen eligible studies were identified, allowing comparisons of mortality risk with different dialytic modalities. The relative risk was non-significant in CRRT vs. PD [RR = 0.95, (95%CI 0.53, 1.73), p = 0.92 from 4 studies] and HD vs. CRRT [RR = 1.10, (95%CI 0.95, 1.27), p = 0.21 from five studies] comparisons. The findings remained unchanged in the leave-one-out sensitivity analysis. Although PD was associated with lower mortality risk than HD [RR = 0.78, (95%CI 0.62, 0.97), p = 0.03], the significance was lost with the exclusion of 4 out of 5 included studies.

conclusionThe current evidence indicates that while patients receiving CRRT may have similar mortality risks compared to those receiving HD or PD, PD may be associated with lower mortality risk compared to HD. However, high heterogeneity among the included studies limits the generalizability of our findings. High-quality studies comparing mortality outcomes with different dialytic modalities in CKD are necessary for a more robust safety and efficacy evaluation.

Indexed as

Continuous Renal Replacement TherapyKidney Failure, ChronicPeritoneal DialysisHumansRenal DialysisRenal Replacement TherapyContinuous kidney replacement therapyCRRTHemodialysisPeritoneal dialysis

Identifiers

PMID38172835
PMCPMC10763097
OpenAlexW4390539266

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.