Evidence map›Paper›PMID 32958859›Full record

ArticleNature microbiology2020

Author Correction: A nonlinear time-series analysis approach to identify thresholds in associations between population antibiotic use and rates of resistance.

José-María López-Lozano, Timothy Lawes, César Nebot, Arielle Beyaert, Xavier Bertrand, Didier Hocquet, Mamoon Aldeyab, Michael Scott, Geraldine Conlon-Bingham, David Farren and 7 more

Abstract readPublished Erratum
PubMed Publisher
In one paragraph

Article in Nature microbiology, 2020. 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

5 · Who and what money

Authors and funding

17 authors.

José-María López-LozanoMedicine Preventive-Infection Control Team, Hospital Vega Baja, Orihuela, Spain.
Timothy LawesThe Wellcome Trust Liverpool-Glasgow Centre for Global Health Research, Liverpool, UK. t.lawes@nhs.net.ORCID http://orcid.org/0000-0003-4393-245X
César NebotCentro Universitario de la Defensa de San Javier, Murcia, Spain.
Arielle BeyaertDepartamento de Métodos Cuantitativos para la Economía y la Empresa, University of Murcia, Murcia, Spain.
Xavier BertrandLaboratoire Chrono-environnement, Université de Bourgogne-Franche-Comté, Besançon, France.
Didier HocquetLaboratoire Chrono-environnement, Université de Bourgogne-Franche-Comté, Besançon, France.
Mamoon AldeyabSchool of Pharmacy and Pharmaceutical Science, Ulster University, Coleraine, UK.
Michael ScottPharmacy Department, Northern Health and Social Care Trust and Regional Medicines Optimisation Innovation Centre, Antrim, UK.
Geraldine Conlon-BinghamPharmacy Department, Northern Health and Social Care Trust and Regional Medicines Optimisation Innovation Centre, Antrim, UK.
David FarrenDepartment of Medical Microbiology, Antrim Area Hospital, Antrim, UK.
Gábor KardosDepartment of Medical Microbiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Adina FésűsClinical Pharmacy, University of Debrecen, Debrecen, Hungary.
Jesús Rodríguez-BañoInfectious Diseases and Clinical Microbiology Unit, Hospital Universitario Virgen Macarena, Seville, Spain.
Pilar RetamarInfectious Diseases and Clinical Microbiology Unit, Hospital Universitario Virgen Macarena, Seville, Spain.
Nieves Gonzalo-JiménezMedical Microbiology Department, Hospital Vega Baja, Orihuela, Spain.
Ian M GouldMedical Microbiology Department, Aberdeen Royal Infirmary, Aberdeen, UK.
THRESHOLDS study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Identifiers

PMID32958859

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.