Evidence map›Paper›PMID 36361690›Full record

ArticleInternational journal of molecular sciences2022

A Timeframe for SARS-CoV-2 Genomes: A Proof of Concept for Postmortem Interval Estimations.

Jacobo Pardo-Seco, Xabier Bello, Alberto Gómez-Carballa, Federico Martinón-Torres, José Ignacio Muñoz-Barús, Antonio Salas

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jacobo Pardo-SecoGrupo de Investigacion en Genética, Vacunas, Infecciones y Pediatría (GENVIP), Hospital Clínico Universitario, Universidade de Santiago de Compostela, 15706 Santiago de Compostela, Galicia, Spain.
Xabier BelloGrupo de Investigacion en Genética, Vacunas, Infecciones y Pediatría (GENVIP), Hospital Clínico Universitario, Universidade de Santiago de Compostela, 15706 Santiago de Compostela, Galicia, Spain.ORCID 0000-0002-4990-8496
Alberto Gómez-CarballaGrupo de Investigacion en Genética, Vacunas, Infecciones y Pediatría (GENVIP), Hospital Clínico Universitario, Universidade de Santiago de Compostela, 15706 Santiago de Compostela, Galicia, Spain.ORCID 0000-0003-0927-1272
Federico Martinón-TorresGrupo de Investigacion en Genética, Vacunas, Infecciones y Pediatría (GENVIP), Hospital Clínico Universitario, Universidade de Santiago de Compostela, 15706 Santiago de Compostela, Galicia, Spain.ORCID 0000-0002-9023-581X
José Ignacio Muñoz-BarúsDepartment of Forensic Sciences, Pathology, Gynaecology and Obstetrics and Paediatrics, Universidade de Santiago de Compostela, 15705 Santiago de Compostela, Galicia, Spain.ORCID 0000-0002-4454-4670
Antonio SalasGrupo de Investigacion en Genética, Vacunas, Infecciones y Pediatría (GENVIP), Hospital Clínico Universitario, Universidade de Santiago de Compostela, 15706 Santiago de Compostela, Galicia, Spain.ORCID 0000-0002-2336-702X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Establishing the timeframe when a particular virus was circulating in a population could be useful in several areas of biomedical research, including microbiology and legal medicine. Using simulations, we demonstrate that the circulation timeframe of an unknown SARS-CoV-2 genome in a population (hereafter, estimated time of a queried genome [QG];

Indexed as

COVID-19SARS-CoV-2Genome, ViralHumansMutationPhylogenyforensic geneticslegal medicinemolecular clockphylogenypostmortem intervalSARS-CoV-2

Identifiers

PMID36361690
PMCPMC9656715

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.