Evidence map›Paper›PMID 39256537›Full record

ArticleScientific reports2024

Estimation of renal function immediately after cessation of continuous renal replacement therapy at the ICU.

T T Pieters, M J van Dam, M A Sikma, A van Arkel, W B Veldhuis, M C Verhaar, D W de Lange, M B Rookmaaker

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

T T PietersDepartment of Nephrology and Hypertension, UMC Utrecht, Utrecht University, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands.
M J van DamDepartment of Intensive Care Medicine, UMC Utrecht, Utrecht University, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands.
M A SikmaDepartment of Intensive Care Medicine, UMC Utrecht, Utrecht University, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands.
A van ArkelDepartment of Intensive Care Medicine, UMC Utrecht, Utrecht University, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands.
W B VeldhuisDepartment of Radiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584CX, Utrecht, the Netherlands.
M C VerhaarDepartment of Nephrology and Hypertension, UMC Utrecht, Utrecht University, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands.
D W de LangeDepartment of Intensive Care Medicine, UMC Utrecht, Utrecht University, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands.
M B RookmaakerDepartment of Nephrology and Hypertension, UMC Utrecht, Utrecht University, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands. M.Rookmaaker@umcutrecht.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating glomerular filtration (eGFR) after Continuous Renal Replacement Therapy (CRRT) is important to guide drug dosing and to assess the need to re-initiate CRRT. Standard eGFR equations cannot be applied as these patients neither have steady-state serum creatinine concentration nor average muscle mass. In this study we evaluate the combination of dynamic renal function with CT-scan based correction for aberrant muscle mass to estimate renal function immediately after CRRT cessation. We prospectively included 31 patients admitted to an academic intensive care unit (ICU) with a total of 37 CRRT cessations and measured serum creatinine before cessation (T1), directly (T2) and 5 h (T3) after cessation and the following two days when eGFR stabilized (T4, T5). We used the dynamic creatinine clearance calculation (D3C) equation to calculate eGFR (D3C

Indexed as

Continuous Renal Replacement TherapyCreatinineGlomerular Filtration RateIntensive Care UnitsAgedFemaleHumansKidneyKidney Function TestsMaleMiddle AgedProspective StudiesRenal Replacement TherapyRetrospective StudiesTomography, X-Ray ComputedCreatinine

Identifiers

PMID39256537
PMCPMC11387416

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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.