Evidence map›Paper›PMID 36755742›Full record

ArticleMDM policy & practice

Developing a Modeling Framework for Quantifying the Health and Cost Implications of Antibiotic Resistance for Surgical Procedures.

Heather Davies, Joel Russell, Angel Varghese, Hayden Holmes, Marta O Soares, B Woods, Ruth Puig-Peiro, Stephanie Evans, Rory Tierney, Stuart Mealing and 2 more

Open access · goldAbstract read
In one paragraph

Article in MDM policy & practice. 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
0.7field-weighted citation impact, top 27% of its field
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, 4 citations in OpenAlex.

  1. 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

12 authors at 3 institutions in 1 country.

Heather DaviesYork Health Economics Consortium Ltd (YHEC), York, North Yorkshire, UK.ORCID https://orcid.org/0000-0003-1943-3765
Joel RussellYork Health Economics Consortium Ltd (YHEC), York, North Yorkshire, UK.
Angel VargheseYork Health Economics Consortium Ltd (YHEC), York, North Yorkshire, UK.
Hayden HolmesYork Health Economics Consortium Ltd (YHEC), York, North Yorkshire, UK.
Marta O SoaresCentre for Health Economics, University of York, York. North Yorkshire, UK.ORCID https://orcid.org/0000-0003-1579-8513
B WoodsCentre for Health Economics, University of York, York. North Yorkshire, UK.
Ruth Puig-PeiroOffice for Health Improvement and Disparities, Department of Health and Social Care, UK.
Stephanie EvansModelling and Evaluations Unit, HCAI & AMR, UK Health Security Agency.
Rory TierneyOffice for Health Improvement and Disparities, Department of Health and Social Care, UK.
Stuart MealingYork Health Economics Consortium Ltd (YHEC), York, North Yorkshire, UK.
Mark SculpherCentre for Health Economics, University of York, York. North Yorkshire, UK.
Julie V RobothamModelling and Evaluations Unit, HCAI & AMR, UK Health Security Agency.
Leeds and York Partnership NHS Foundation Trust · GBUniversity of York · GBUK Health Security Agency · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highlights: The modeling framework is a starting point for assessing the health and cost impacts of antibiotic resistance on surgeries in England.Formulating a framework and synthesizing evidence to parameterize data gaps provides targets for future research.Once data gaps are addressed, this modeling framework can be used to feed into overall estimates of the health and cost burden of antibiotic resistance and evaluate control policies.

Indexed as

antibiotic resistanceexpert elicitationmodelling frameworkSurgical site infection

Identifiers

PMID36755742
PMCPMC9900655
OpenAlexW4319655974

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.