Evidence map›Paper›PMID 32893272›Full record

SynthesisSaudi medical journal2020

Outcomes of COVID-19 in the Eastern Mediterranean Region in the first 4 months of the pandemic.

Ahmed S BaHammam, Khalid M Bindayna, Ronni M Joji, Haitham Jahrami, Mo'ez Al-Islam E Faris, Nicola L Bragazzi

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Saudi medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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.

Ahmed S BaHammamRespiratory Medicine, University Sleep Disorders Center, College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia.E-mail. ashammam2@gmail.com.
Khalid M Bindayna
Ronni M Joji
Haitham Jahrami
Mo'ez Al-Islam E Faris
Nicola L Bragazzi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo summarize the outcomes of the coronavirus disease 2019 infections in the Eastern Mediterranean Region (EMR) in the first 4 months of the pandemic.

methodsA meta-analysis approach was used in this context. We used the aggregate data from the World Health Organization Regional Office for the EMRO (until 26 May 2020) to generate this report.

resultsAn analysis of official data from all 22 countries and territories in the Middle East, North Africa, the Horn of Africa, and Central Asia K=22 (a total of 438,717 cases) was performed. The total number of cases, recovered cases were 438,717,228,986,  and deaths was 11,290 in the EMR. Meta-analytic pooling of the point estimates of recovery rate per country in the EMR was 52.5% (95% CI 52.3% - 52.6%). The lowest recovery rates were in Somalia (4.3%), and the highest rates were in Tunisia (87.4%). Meta-analytic pooling of the point estimates of death rate per country in the EMR yielded 3.85% [95% CI 3.80% - 3.9%]. Meta-analytic pooling of the point estimates of recovery rate per country in the Gulf Cooperation Council countries was 46.1% (95% CI 45.8% - 46.3%). Meta-analytic pooling of the point estimates of death rate per country in the Gulf Cooperation Council countries was 0.6% (95% CI 0.50% - 0.65%).

conclusionWide variability was found between EMR countries in recovery and mortality, implying the possible impact of resource availability, and genetic and environmental factors on the morality and recovery of the COVID-19.

Indexed as

Survival RateAfrica, NorthernBetacoronavirusCoronavirus InfectionsCOVID-19HumansMiddle EastMortalityPakistanPandemicsPneumonia, ViralSARS-CoV-2Somalia

Identifiers

PMID32893272
PMCPMC7557552

What OpenQuestion holds

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Registered trials

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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.