Evidence map›Paper›PMID 41267613›Full record

SynthesisThe clinical respiratory journal2025

COVID-19 Pandemic: A Comprehensive Meta-Review of Global Impacts, Responses, and Future Preparedness.

Rulin Wang, Muhammad Ahsan Naeem

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in The clinical respiratory journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. 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

2 authors.

Rulin WangDepartment of Nurses at Medical College, Xijing University, Xi'an, Shaanxi, China.
Muhammad Ahsan NaeemDepartment of Basic Sciences (Pharmacology), University of Veterinary and Animal Sciences, Lahore, Pakistan.ORCID https://orcid.org/0000-0003-4366-298X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic due to SARS-CoV-2 has initiated historically unparalleled global health, social, and economic impacts. Syntheses of the multivariable interdependent effects on the multiple clinical, immunologic, psychosocial, and health service realms are required to guide current and future public health preparedness and policy.

methodsA systematic review of a meta-analysis was conducted using the PubMed, Scopus, and Web of Science databases from December 2019 to 2025 to identify observational studies and randomized controlled trials. Quantitative reporting studies of COVID-19 outcomes were included. Random-effects model aggregated effect sizes were estimated and tested for heterogeneity with Cochran's Q, τ

resultsTwenty-four studies were classified into three categories: clinical outcomes (15 studies), immunogenicity (4 studies), and psychosocial/health service outcomes (5 studies). There was no statistically significant pooled effect (effect ratio 0.95, 95% CI: 0.55-1.62) with severe heterogeneity (I DISCUSSION: The outcomes reveal robust immunogenic vaccine impacts and indeterminate psychosocial and clinical impacts, consistent with the heterogeneity and complexity of COVID-19 effects. Great heterogeneity highlights methodological standardization and cautious interpretation. This present meta-analysis offers key lessons to guide subsequent study design and manufacture of fair health policy and pandemic readiness.

Indexed as

COVID-19Global HealthPandemicsHumansPublic HealthSARS-CoV-2COVID‐19 pandemicglobal health impactmeta‐analysispandemic preparednesspublic health response

Identifiers

PMID41267613
PMCPMC12635497

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.