Evidence map›Paper›PMID 35819118›Full record

ArticlePharmaceutical statistics2022

Study-design in pandemics: From surveillance and performance-evaluation to licensing and pharmacovigilance.

Sheila M Bird

Abstract read
In one paragraph

Article in Pharmaceutical statistics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

1 author.

Sheila M BirdMRC Biostatistics Unit, Cambridge, UK.ORCID 0000-0001-6378-8382

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Andy Grieve, the first pharmaceutical statistician to be President of the Royal Statistical Society, practiced in the regulated world of drug development. With reduction in drug development costs as his motivation, Grieve advanced Bayesian methods for developing predictive methods for efficacy and toxicity - to be used as early as possible in the drug development process; and his presidential address exhorted statisticians to weigh-in wherever data are used to make decisions. Diagnostic tests for infectious diseases are less regulated than drugs and vaccines unless the blood supply is at risk. Unlike in the HIV and HCV pandemics of the late 20th century, even well-designed surveys linked to a volunteered biological sample (to be tested for SARS-CoV-2 antigen or antibodies) have had modest or low consent rates. Record-linkage, statistical design and reporting standards have seen triumph and tragedy. Among the triumphs are: Liverpool's insistence on dual testing (lateral flow device; polymerase chain reaction [PCR]) of some 6000 asymptomatic citizens who attended for SARS-CoV-2-screening; two tricky randomized controlled public-policy trials on daily contact testing for close contacts of index cases of SARS-CoV-2 infection versus self-isolation (with or without initial PCR); and among already-consented participants in surveillance, over 80% secondary consent for linkage to their health records, including the Immunization Management Service. Before the next pandemic we need to entrench better regulation of diagnostic tests, better informed consent (not via weblinks), better feedback to participants, and transparency about basic safety data.

Indexed as

COVID-19PandemicsBayes TheoremHumansPharmacovigilanceSARS-CoV-2licensingpandemicperformance-evaluationpharmacovigilancesurveillance

Identifiers

PMID35819118
PMCPMC9544724

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.