Evidence map›Paper›PMID 34044998›Full record

ArticleThe Lancet. Digital health2021

COVID-19 containment measures and incidence of invasive bacterial disease.

David R M Smith, Lulla Opatowski

Abstract readComment
In one paragraph

Article in The Lancet. Digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. COVID-19-associated Guillain-Barré syndrome in the early pandemic experience in Lombardia (Italy).Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Article
  5. [Efecto de las medidas preventivas durante la pandemia: más allá del SARS CoV-2].Biomedica : revista del Instituto Nacional de Salud · 2021
    Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

David R M SmithEpidemiology and Modelling of Antibiotic Evasion Unit, Institut Pasteur, Paris 75015, France; CESP, Université Paris-Saclay, UVSQ, Inserm, Montigny-Le-Bretonneux, France; Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS), Conservatoire National des Arts et Métiers, Paris, France.
Lulla OpatowskiEpidemiology and Modelling of Antibiotic Evasion Unit, Institut Pasteur, Paris 75015, France; CESP, Université Paris-Saclay, UVSQ, Inserm, Montigny-Le-Bretonneux, France. Electronic address: lulla.opatowski@pasteur.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Bacterial InfectionsCOVID-19Neisseria meningitidisHaemophilus influenzaeHumansIncidencePandemicsProspective StudiesSARS-CoV-2Streptococcus pneumoniae

Identifiers

PMID34044998
PMCPMC8143728

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.