Evidence map›Paper›PMID 36088947›Full record

ArticleLancet (London, England)2022

Misclassification bias in estimating clinical severity of SARS-CoV-2 variants - Authors' reply.

Tommy Nyberg, Neil M Ferguson, Joshua Blake, Wes Hinsley, Samir Bhatt, Daniela De Angelis, Simon Thelwall, Anne M Presanis

Abstract readLetterComment
In one paragraph

Article in Lancet (London, England), 2022. 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

5 · Who and what money

Authors and funding

8 authors.

Tommy NybergMRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK. Electronic address: tommy.nyberg@mrc-bsu.cam.ac.uk.
Neil M FergusonNIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
Joshua BlakeMRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK.
Wes HinsleyNIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
Samir BhattNIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
Daniela De AngelisMRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK; Statistics, Modelling and Economics Department, UK Health Security Agency, London, UK; Joint Modelling Team, UK Health Security Agency, London, UK; NIHR Health Protection Research Unit for Behavioural Science and Evaluation at the University of Bristol, University of the West of England, and University of Cambridge, Bristol, UK.
Simon ThelwallCOVID-19 National Epidemiology Cell, UK Health Security Agency, London, UK.
Anne M PresanisMRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK.

Funding

Medical Research Council MC_PC_19074Medical Research Council MC_UU_00002/11Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19SARS-CoV-2Humans

Identifiers

PMID36088947
PMCPMC9456774

What OpenQuestion holds

Textmetadata
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.