Evidence map›Paper›PMID 37994191›Full record

ReviewSeminars in dialysis

Feedback control in hemodialysis.

Ashveer Randhay, Mohamed Tarek Eldehni, Nicholas M Selby

Abstract readReview
In one paragraph

Review in Seminars in dialysis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

3 authors.

Ashveer RandhayCentre for Kidney Research and Innovation, School of Medicine, University of Nottingham, Nottingham, UK.
Mohamed Tarek EldehniCentre for Kidney Research and Innovation, School of Medicine, University of Nottingham, Nottingham, UK.
Nicholas M SelbyCentre for Kidney Research and Innovation, School of Medicine, University of Nottingham, Nottingham, UK.ORCID 0000-0003-0351-8326

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of systems of feedback control during dialysis have been developed, which have the shared characteristic of prospectively measuring physiological parameters and then automatically altering dialysis parameters in real time according to a pre-specified dialysis prescription. These include feedback systems aimed at reducing intradialytic hypotension based on relative blood volume monitoring linked to adjustments in ultrafiltration and dialysate conductivity, and blood temperature monitoring linked to alterations in dialysate temperature. Feedback systems also exist that manipulate sodium balance during dialysis by assessing and adjusting dialysate conductivity. In this review article, we discuss the rationale for automated feedback systems during dialysis, describe how the different feedback systems work, and provide a review of the current evidence on their clinical effectiveness.

Indexed as

Feedback, PhysiologicalKidney Failure, ChronicRenal DialysisFeedbackHumansHypotension

Identifiers

PMID37994191
PMCPMC11867153

What OpenQuestion holds

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LicenceCC BY
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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.