Evidence map›Paper›PMID 37048634›Full record

ArticleJournal of clinical medicine2023

Predictors for Unsuccessful Reductions in Hemodialysis Frequency during the Pandemic.

Suthiya Anumas, Sithichai Kunawathanakul, Pichaya Tantiyavarong, Pajaree Krisanapan, Pattharawin Pattharanitima

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Suthiya AnumasChulabhorn International College of Medicine, Thammasat University, Pathum Thani 12120, Thailand.ORCID 0000-0002-2028-5037
Sithichai KunawathanakulDivision of Nephrology, Department of Medicine, Faculty of Medicine, Thammasat University, Pathum Thani 12120, Thailand.
Pichaya TantiyavarongDivision of Nephrology, Department of Medicine, Faculty of Medicine, Thammasat University, Pathum Thani 12120, Thailand.
Pajaree KrisanapanDivision of Nephrology, Department of Medicine, Faculty of Medicine, Thammasat University, Pathum Thani 12120, Thailand.ORCID 0000-0002-2888-881X
Pattharawin PattharanitimaDivision of Nephrology, Department of Medicine, Faculty of Medicine, Thammasat University, Pathum Thani 12120, Thailand.ORCID 0000-0002-6010-0033
Thammasat University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesPatients receiving in-center hemodialysis are at a high risk of coronavirus disease 2019 (COVID-19) infection. A reduction in hemodialysis frequency is one of the proposed measures for preventing COVID-19 infection. However, the predictors for determining an unsuccessful reduction in hemodialysis frequency are still lacking. MATERIALS AND

methodsThis retrospective observational study enrolled patients who were receiving long-term thrice-weekly hemodialysis at the Thammasat University Hospital in 2021 and who decreased their dialysis frequency to twice weekly during the COVID-19 outbreak. The outcomes were to determine the predictors and a prediction model of unsuccessful reduction in dialysis frequency at 4 weeks. Bootstrapping was performed for the purposes of internal validation.

resultsOf the 161 patients, 83 patients achieved a dialysis frequency reduction. Further, 33% and 82% of the patients failed to reduce their dialysis frequency at 4 and 8 weeks, respectively. The predictors for unsuccessful reduction were diabetes, congestive heart failure (CHF), pre-dialysis overhydration, set dry weight (DW), DW from bioelectrical impedance analysis, and the mean pre- and post-dialysis body weight. The final model including these predictors demonstrated an AUROC of 0.763 (95% CI 0.654-0.866) for the prediction of an unsuccessful reduction.

conclusionsThe prediction score involving diabetes, CHF, pre-dialysis overhydration, DW difference, and net ultrafiltration demonstrated a good performance in predicting an unsuccessful reduction in hemodialysis frequency at 4 weeks.

Indexed as

COVID-19hemodialysispredictionreduction dialysis frequency

Identifiers

PMID37048634
PMCPMC10095366
OpenAlexW4361214402

What OpenQuestion holds

Textmetadata
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.