Evidence map›Paper›PMID 41909070›Full record

ArticleReumatologia2026

Impact of COVID-19 on inflammatory disease research: a literature analysis of 77,575 PubMed articles.

Naruaki Ogasawara

Abstract read
In one paragraph

Article in Reumatologia, 2026. 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

1 author.

Naruaki OgasawaraThe Japanese Society of Internal Medicine, Japan.ORCID https://orcid.org/0000-0003-0437-2824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study investigated how the coronavirus disease 2019 (COVID-19) pandemic influenced research trends related to inflammatory diseases and biomarkers. By analyzing large-scale bibliographic data, the study aimed to clarify thematic transitions over the past 3 decades and to identify emerging perspectives that shape current and future directions. Material and methods: PubMed-indexed articles ( Results: The analysis revealed distinct transitions. From 1995 to 2004, research emphasized immune pathways and molecular mechanisms. Between 2005 and 2014, the focus shifted toward translational and clinical applications. After 2015, particularly during the COVID-19 era, biomarker studies expanded into public health, epidemiology, and infection monitoring. Conclusions: Biomarker research in inflammatory diseases has progressed from molecular inquiry to clinical translation and now to population-level health strategies. The COVID-19 pandemic accelerated this trajectory, positioning biomarkers as pivotal tools that link laboratory science with public health preparedness and policy. Beyond clarifying historical shifts, this study demonstrates how quantitative bibliometric analysis can reveal overlooked relationships between research domains and highlight emerging perspectives. Such findings not only inform scientific agendas but also guide policymakers in strengthening healthcare systems. By framing biomarkers as both scientific markers and societal instruments, this study underscores their transformative role and offers a comprehensive foundation for shaping future investigations.

Indexed as

biomarkerco-occurrence analysisCOVID-19inflammatory disease

Identifiers

PMID41909070
PMCPMC13022973

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.