Evidence map›Paper›PMID 33791472›Full record

ArticleFuture healthcare journal2021

Tracking cancer patients during COVID-19 using structured outcomes and keywords.

Rowan Wathes, Katherine van Ree, Gareth Gwynn, Phawan Hurhangee, Catherine Urch

Abstract read
In one paragraph

Article in Future healthcare journal, 2021. 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
–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

1 citing paper in PubMed.

  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.

Rowan WathesThe PSC, London, UK.
Katherine van Reecardiovascular and cancer, and consultant radiologist, Imperial College Healthcare NHS Trust, London, UK.
Gareth GwynnImperial College Healthcare NHS Trust, London, UK.
Phawan HurhangeeImperial College Healthcare NHS Trust, London, UK.
Catherine Urchcardiovascular and cancer, and trust cancer lead, Imperial College Healthcare NHS Trust, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the duration of COVID-19, cancer pathways will be affected by the significant loss of elective capacity and increased risk of COVID-19-related morbidity and mortality for cancer patients. Imperial College Healthcare NHS Trust (ICHT) has developed a simple, effective MDT recording process, using keywords, to support the tracking of patients who require treatment prioritisation, repeated clinical/MDT reviews and/or need adjustments to their treatment. Following implementation in April, the percentage of MDT outcomes with keywords recorded was 79% in June and 77% for the first two weeks of July. Analysis of the 3,680 MDT outcomes with at least one key word recorded showed that 96% had the 'intention to proceed' recorded. For 59% patients, the decision was to 'proceed', 5% patients are being monitored, 3% patients have been deferred and 29% were 'closed'. While this process adds time to busy MDTs, we hypothesise that it will support the tracking and safety-netting of thousands of cancer patients whose care has been affected by the pandemic. The process could easily be implemented in other trusts and adapted for other specialties.

Indexed as

cancerCOVID-19MDT outcomesrecoverytracking

Identifiers

PMID33791472
PMCPMC8004341

What OpenQuestion holds

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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.