Evidence map›Paper›PMID 26629900›Full record

ArticlePloS one2015

Plasma Levels of Middle Molecules to Estimate Residual Kidney Function in Haemodialysis without Urine Collection.

Enric Vilar, Capella Boltiador, Jonathan Wong, Adie Viljoen, Ashwini Machado, Arani Uthayakumar, Ken Farrington

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.1field-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

24 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Increasing the Removal of Large Solutes by Kidney Replacement Therapy.Journal of the American Society of Nephrology : JASN · 2025
    Review
  4. Cystatin C and Kidney Function Recovery in Patients Requiring Continuous KRT for Acute Kidney Injury.Clinical journal of the American Society of Nephrology : CJASN · 2024
    Article
  5. Review
  6. Review
  7. Residual Kidney Function and Cause-Specific Mortality.Kidney international reports · 2023
    Article
  8. Article
  9. Narrative Review of Incremental Hemodialysis.Kidney international reports · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Observational
  15. Review
  16. Observational
  17. Observational
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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 at 2 institutions in 1 country.

Enric VilarRenal Unit, Lister Hospital, Hertfordshire, Stevenage, United Kingdom.
Capella BoltiadorDepartment of Pathology, Lister Hospital, Stevenage, United Kingdom.
Jonathan WongRenal Unit, Lister Hospital, Hertfordshire, Stevenage, United Kingdom.
Adie ViljoenDepartment of Pathology, Lister Hospital, Stevenage, United Kingdom.
Ashwini MachadoRenal Unit, Lister Hospital, Hertfordshire, Stevenage, United Kingdom.
Arani UthayakumarRenal Unit, Lister Hospital, Hertfordshire, Stevenage, United Kingdom.
Ken FarringtonRenal Unit, Lister Hospital, Hertfordshire, Stevenage, United Kingdom.
Lister Hospital · GBUniversity of the West of England · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResidual Kidney Function (RKF) is associated with survival benefits in haemodialysis (HD) but is difficult to measure without urine collection. Middle molecules such as Cystatin C and β2-microglobulin accumulate in renal disease and plasma levels have been used to estimate kidney function early in this condition. We investigated their use to estimate RKF in patients on HD.

designCystatin C, β2-microglobulin, urea and creatinine levels were studied in patients on incremental high-flux HD or hemodiafiltration(HDF). Over sequential HD sessions, blood was sampled pre- and post-session 1 and pre-session 2, for estimation of these parameters. Urine was collected during the whole interdialytic interval, for estimation of residual GFR (GFRResidual = mean of urea and creatinine clearance). The relationships of plasma Cystatin C and β2-microglobulin levels to GFRResidual and urea clearance were determined.

resultsOf the 341 patients studied, 64% had urine output>100 ml/day, 32.6% were on high-flux HD and 67.4% on HDF. Parameters most closely correlated with GFRResidual were 1/β2-micoglobulin (r2 0.67) and 1/Cystatin C (r2 0.50). Both these relationships were weaker at low GFRResidual. The best regression model for GFRResidual, explaining 67% of the variation, was: GFRResidual = 160.3 · (1/β2m) - 4.2. Where β2m is the pre-dialysis β2 microglobulin concentration (mg/L). This model was validated in a separate cohort of 50 patients using Bland-Altman analysis. Areas under the curve in Receiver Operating Characteristic analysis aimed at identifying subjects with urea clearance≥2 ml/min/1.73 m2 was 0.91 for β2-microglobulin and 0.86 for Cystatin C. A plasma β2-microglobulin cut-off of ≤19.2 mg/L allowed identification of patients with urea clearance ≥2 ml/min/1.73 m2 with 90% specificity and 65% sensitivity.

conclusionPlasma pre-dialysis β2-microglobulin levels can provide estimates of RKF which may have clinical utility and appear superior to cystatin C. Use of cut-off levels to identify patients with RKF may provide a simple way to individualise dialysis dose based on RKF.

Indexed as

Renal Dialysisbeta 2-MicroglobulinCystatin CFemaleHumansKidneyKidney DiseasesMaleMiddle AgedSurvival Analysisbeta 2-MicroglobulinCystatin C

Identifiers

PMID26629900
PMCPMC4668015
OpenAlexW2186745014

What OpenQuestion holds

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Registered trials

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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.