Evidence map›Paper›PMID 37158816›Full record

Observational studyBMC nephrology2023

What data collection methods work best for COVID19 outbreak surveillance for people with end stage kidney disease? An observational cohort study using the UK Renal Registry.

Shalini Santhakumaran, Manuela Savino, Fran Benoy-Deeney, Retha Steenkamp, James Medcalf, Dorothea Nitsch

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC nephrology, 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
0.2field-weighted citation impact, top 51% 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, 1 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

6 authors at 2 institutions in 1 country.

Shalini SanthakumaranUK Renal Registry, Brandon House Building 20A1 Southmead Road Filton, Bristol, BS34 7RR, UK. shalini.santhakumaran@ukkidney.org.
Manuela SavinoUK Renal Registry, Brandon House Building 20A1 Southmead Road Filton, Bristol, BS34 7RR, UK.
Fran Benoy-DeeneyUK Renal Registry, Brandon House Building 20A1 Southmead Road Filton, Bristol, BS34 7RR, UK.
Retha SteenkampUK Renal Registry, Brandon House Building 20A1 Southmead Road Filton, Bristol, BS34 7RR, UK.
James MedcalfUK Renal Registry, Brandon House Building 20A1 Southmead Road Filton, Bristol, BS34 7RR, UK.
Dorothea NitschUK Renal Registry, Brandon House Building 20A1 Southmead Road Filton, Bristol, BS34 7RR, UK.
Renal Association · GBUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients on kidney replacement therapy (KRT) are vulnerable to severe illness from COVID-19. Timely, accurate surveillance is essential for planning and implementing infection control at local, regional and national levels. Our aim was to compare two methods of data collection for COVID-19 infections amongst KRT patients in England.

methodsAdults receiving KRT in England were linked to two sources of data on positive COVID-19 tests recorded March-August 2020: (1) submissions from renal centres to the UK Renal Registry (UKRR) and (2) Public Health England (PHE) laboratory data. Patient characteristics, cumulative incidence by modality (in-centre haemodialysis (ICHD), home HD, peritoneal dialysis (PD) and transplant), and 28-day survival were compared between the two sources.

results2,783/54,795 patients (5.1%) had a positive test in the combined UKRR-PHE dataset. Of these 2,783, 87% had positive tests in both datasets. Capture was consistently high for PHE (> 95% across modalities) but varied for UKRR (ranging from ICHD 95% to transplant 78%, p < 0.0001). Patients captured only by PHE were more likely to be on transplant or home therapies (OR 3.5 95% CI [2.3-5.2] vs. ICHD) and to be infected in later months (OR 3.3 95%CI [2.4-4.6] for May-June, OR 6.5 95%CI [3.8-11.3] for July-August, vs. March-April), compared to patients in both datasets. Stratified by modality, patient characteristics and 28-day survival were similar between datasets.

conclusionsFor patients undergoing ICHD treatment the collection of data submitted directly by renal centres allows constant monitoring in real time. For other KRT modalities, using a national swab test dataset through frequent linkage may be the most effective method. Optimising central surveillance can improve patient care by informing interventions and assisting planning at local, regional and national levels.

Indexed as

COVID-19Kidney Failure, ChronicAdultCohort StudiesData CollectionDisease OutbreaksEnglandHumansRegistriesCOVID-19DialysisESKDInfectionKRTSurveillance

Identifiers

PMID37158816
PMCPMC10166021
OpenAlexW4375859327

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.