Evidence map›Paper›PMID 36703195›Full record

ArticleInternational journal for equity in health2023

The many revelations of and about inequality data in the context of COVID-19: introducing a special issue on COVID-19 and inequality.

Ahmad Reza Hosseinpoor, Devaki Nambiar, Katherine Kirkby, Ana Lorena Ruano, Stephen McFeeley

Abstract readEditorial
In one paragraph

Article in International journal for equity in health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Ahmad Reza HosseinpoorDepartment of Data and Analytics, Division of Data, Analytics and Delivery for Impact, World Health Organization, 20, Avenue Appia, CH-1211, Geneva 27, Switzerland. hosseinpoora@who.int.
Devaki NambiarDepartment of Data and Analytics, Division of Data, Analytics and Delivery for Impact, World Health Organization, 20, Avenue Appia, CH-1211, Geneva 27, Switzerland.
Katherine KirkbyDepartment of Data and Analytics, Division of Data, Analytics and Delivery for Impact, World Health Organization, 20, Avenue Appia, CH-1211, Geneva 27, Switzerland.
Ana Lorena RuanoCenter for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Stephen McFeeleyDepartment of Data and Analytics, Division of Data, Analytics and Delivery for Impact, World Health Organization, 20, Avenue Appia, CH-1211, Geneva 27, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19HumansSocioeconomic Factors

Identifiers

PMID36703195
PMCPMC9878472

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.