Evidence map›Paper›PMID 36466770›Full record

ArticleComputers & industrial engineering2023

Amir Karbassi Yazdi, Farhan Muhammad Muneeb, Peter Fernandes Wanke, Thomas Hanne, Adnan Ali

Abstract read
In one paragraph

Article in Computers & industrial engineering, 2023. 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

5 authors.

Amir Karbassi YazdiSchool of Engineering, Universidad Católica del Norte, Larrondo 1281, 1781421, Coquimbo, Chile.
Farhan Muhammad MuneebSchool of Management, Xi'an Jiaotong University, Shaanxi, Xi'an, PR China.
Peter Fernandes WankeCenter for Logistics Studies, COPPEAD - The Graduate School of Business Administration Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Thomas HanneInstitute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Switzerland.
Adnan AliSchool of Management, Xi'an Jiaotong University, Shaanxi, Xi'an, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Governments have been challenged to provide temporary hospitals and other types of facilities to face the COVID-19 pandemic. This research proposes a novel multi-attribute decision-making (MADM) model to help determine

Indexed as

Best worst methodCOVID-19Delphi methodEvaluation by an area-based method of rankingPythagorean fuzzy numbersTemporary hospitals

Identifiers

PMID36466770
PMCPMC9707025

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.