Evidence map›Paper›PMID 34565428›Full record

Trial reportTrials2021

Use of routinely collected health data in randomised clinical trials: comparison of trial-specific death data in the BOSS trial with NHS Digital data.

Sharon B Love, Anna Kilanowski, Victoria Yorke-Edwards, Oliver Old, Hugh Barr, Clive Stokes, Catherine Kendall, Matthew R Sydes

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

8 authors.

Sharon B Love *MRC Clinical Trials Unit at UCL, 90 High Holborn, London, WC1V 6LJ, UK. s.love@ucl.ac.uk.ORCID http://orcid.org/0000-0002-6695-5390
Anna Kilanowski *Institute of Clinical Trials and Methodology, 90 High Holborn, London, WC1V 6LJ, UK.ORCID https://orcid.org/0000-0001-5328-6274
Victoria Yorke-EdwardsMRC Clinical Trials Unit at UCL, 90 High Holborn, London, WC1V 6LJ, UK.ORCID https://orcid.org/0000-0002-6465-7330
Oliver OldGloucester Royal Hospital, Great Western Road, Gloucester, GL1 3NN, UK.
Hugh BarrGloucester Royal Hospital, Great Western Road, Gloucester, GL1 3NN, UK.
Clive StokesChestnut House, Gloucester Royal Hospital, Great Western Road, Gloucester, GL1 3NN, UK.
Catherine KendallBiophotonics Research Unit, Gloucestershire Royal Hospital, Great Western Road, Gloucester, GLI 3NN, UK.
Matthew R SydesMRC Clinical Trials Unit at UCL, 90 High Holborn, London, WC1V 6LJ, UK.ORCID https://orcid.org/0000-0002-9323-1371

Funding

Medical Research Council MC_UU_00004/08Medical Research Council MC_UU_12023/24Medical Research Council UU 12023/24
6 · The paper itself

Abstract

backgroundA promising approach to reduce the increasing costs of clinical trials is the use of routinely collected health data as participant data. However, the quality of this data could limit its usability as trial participant data.

methodsThe BOSS trial is a randomised controlled trial comparing regular endoscopies versus endoscopies at need in patients with Barrett's oesophagus with primary endpoint death. Data on death and cancer collected every 2 years after randomisation (trial-specific data) were compared to data received annually (all patients on one date) from the routinely collected health data source National Health Service (NHS) Digital. We investigated completeness, agreement and timeliness and looked at the implications for the primary trial outcome. Completeness and agreement were assessed by evaluating the number of reported and missing cases and any disparities between reported dates. Timeliness was considered by graphing the year a death was first reported in the trial-specific data against that for NHS Digital data. Implications on the primary trial outcome, overall survival, of using one of the data sources alone were investigated using Kaplan-Meier graphs. To assess the utility of cause of death and cancer diagnoses, oesophageal cancer cases were compared.

resultsNHS Digital datasets included more deaths and often reported them sooner than the trial-specific data. The number reported as being from oesophageal cancer was similar in both datasets. Due to time lag in reporting and missing cases, the event rate appeared higher using the NHS Digital data.

conclusionNHS Digital death data is useful for calculating overall survival where trial-specific follow-up is only every 2 years from randomisation and the follow-up requires patient response. The cancer data was not a large enough sample to assess usability. We suggest that this assessment of registry data is done for more phase III RCTs and for more registry data to get a more complete picture of when RCHD would be useful in phase III RCT.

trial registrationISRCTN54190466 (BOSS) 1 Oct 2009.

Indexed as

Esophageal NeoplasmsState MedicineHumansRegistriesRoutinely Collected Health DataNHS DigitalPhase III RCTRoutinely collected health data

Identifiers

PMID34565428
PMCPMC8474902

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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.