Evidence map›Paper›PMID 27899100›Full record

SynthesisBMC public health2016

Clinical determinants of the severity of Middle East respiratory syndrome (MERS): a systematic review and meta-analysis.

Ryota Matsuyama, Hiroshi Nishiura, Satoshi Kutsuna, Kayoko Hayakawa, Norio Ohmagari

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 8 pooled it
1.3field-weighted citation impact, top 19% 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

73 citing papers in PubMed, 8 syntheses or guidelines pooled it, 133 citations in OpenAlex.

  1. Pooled it
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  4. Cardiovascular Manifestations and Mechanisms in Patients with COVID-19.Trends in endocrinology and metabolism: TEM · 2020
    Pooled it
  5. Comorbidities and the risk of severe or fatal outcomes associated with coronavirus disease 2019: A systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
    Pooled it
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  9. Article
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  11. Molecular determinants of cross-species transmission in emerging viral infections.Microbiology and molecular biology reviews : MMBR · 2024
    Review
  12. Article
  13. Diabetes Mellitus and Pneumococcal Pneumonia.Diagnostics (Basel, Switzerland) · 2024
    Review
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  18. The burden and risks of emerging complications of diabetes mellitus.Nature reviews. Endocrinology · 2022 · on this map
    Review
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  20. Review

13 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Ryota MatsuyamaGraduate School of Medicine, Hokkaido University, Kita 15 Jo Nishi 7 Chome, Kita-ku, Sapporo, 060-8638, Japan.
Hiroshi NishiuraGraduate School of Medicine, Hokkaido University, Kita 15 Jo Nishi 7 Chome, Kita-ku, Sapporo, 060-8638, Japan. nishiurah@med.hokudai.ac.jp.
Satoshi KutsunaDisease Control and Prevention Center, National Center for Global Health and Medicine Hospital, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan.
Kayoko HayakawaDisease Control and Prevention Center, National Center for Global Health and Medicine Hospital, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan.
Norio OhmagariDisease Control and Prevention Center, National Center for Global Health and Medicine Hospital, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan.
National Center for Global Health and Medicine · JPHokkaido University · JPJapan Science and Technology Agency · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile the risk of severe complications of Middle East respiratory syndrome (MERS) and its determinants have been explored in previous studies, a systematic analysis of published articles with different designs and populations has yet to be conducted. The present study aimed to systematically review the risk of death associated with MERS as well as risk factors for associated complications.

methodsPubMed and Web of Science databases were searched for clinical and epidemiological studies on confirmed cases of MERS. Eligible articles reported clinical outcomes, especially severe complications or death associated with MERS. Risks of admission to intensive care unit (ICU), mechanical ventilation and death were estimated. Subsequently, potential associations between MERS-associated death and age, sex, underlying medical conditions and study design were explored.

resultsA total of 25 eligible articles were identified. The case fatality risk ranged from 14.5 to 100%, with the pooled estimate at 39.1%. The risks of ICU admission and mechanical ventilation ranged from 44.4 to 100% and from 25.0 to 100%, with pooled estimates at 78.2 and 73.0%, respectively. These risks showed a substantial heterogeneity among the identified studies, and appeared to be the highest in case studies focusing on ICU cases. We identified older age, male sex and underlying medical conditions, including diabetes mellitus, renal disease, respiratory disease, heart disease and hypertension, as clinical predictors of death associated with MERS. In ICU case studies, the expected odds ratios (OR) of death among patients with underlying heart disease or renal disease to patients without such comorbidities were 0.6 (95% Confidence Interval (CI): 0.1, 4.3) and 0.6 (95% CI: 0.0, 2.1), respectively, while the ORs were 3.8 (95% CI: 3.4, 4.2) and 2.4 (95% CI: 2.0, 2.9), respectively, in studies with other types of designs.

conclusionsThe heterogeneity for the risk of death and severe manifestations was substantially high among the studies, and varying study designs was one of the underlying reasons for this heterogeneity. A statistical estimation of the risk of MERS death and identification of risk factors must be conducted, particularly considering the study design and potential biases associated with case detection and diagnosis.

Indexed as

ComorbidityCoronavirus InfectionsDatabases, FactualGlobal HealthHumansOdds RatioRisk FactorsSeverity of Illness IndexAscertainment biasCase fatality ratioComorbidityMiddle East respiratory syndrome

Identifiers

PMID27899100
PMCPMC5129628
OpenAlexW2558364858

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.