ReviewHealthcare (Basel, Switzerland)2025
Long COVID Research, 2020-2024: A PubMed-Based Bibliometric Analysis.
Review in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Suicidal Thoughts and Self-Harm Behavior During the COVID-19 Pandemic in the United Kingdom: A Repeated Cross-Sectional Population-Based Survey Study.Health science reports · 2026Article
- Auditing frontier general-purpose large language models in biomedical tasks: reasoning gains, extraction limits, and benchmark reliability.Research square · 2026Article
- Monitoring and evaluation of health disparities for people with disability in low- and middle-income countries: a scoping review.Epidemiologic reviews · 2026Article
- Clinical Practice Guideline Recommendations for Post-Acute Sequelae of COVID-19.Infection & chemotherapy · 2025Review
- SPACO+: a mixed methods protocol to assessing the effectiveness of an educative intervention in patients with Long Covid.BMC infectious diseases · 2025Article
- Patient Perspectives on the Care in a Long COVID Outpatient Clinic-A Regional Qualitative Analysis from Germany.Healthcare (Basel, Switzerland) · 2025Article
- Manuscript Title: Regulatory and Implications of Complementary and Alternative Medicine (CAM) Use for Infection Prevention: Insights From the Gulf Cooperation Council (GCC) Countries.Risk management and healthcare policy · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Long COVID is a SARS-CoV-2 infection-associated chronic condition with great potential to impact health and socioeconomic outcomes. The research efforts to face the challenges related to long COVID have resulted in a substantial amount of publications, which warrants the need for bibliometric profiling. This is a large-scale PubMed-based bibliometric analysis of more than 390,000 COVID-19 publications. The overall aim was to update the profile of long COVID publications in comparison with the rest of the COVID-19 scientific literature through December 2024. The estimated proportion of long COVID publications was relatively low (2.3% of all COVID-19 publications), although the cumulative frequency (n = 8928) continues to pose a challenge for proper information management. Currently, "treatment" and "mechanism" appear to be the most predominant research topics in the long COVID literature. Interestingly, this evaluation revealed a distinctive profile of the long COVID literature, with a clear preponderance of "case report" and "mechanism" research topics when compared with other COVID-19 publications. This evaluation also identified and ranked the most prolific scientific journals in the production of long COVID-related publications. This study may improve the visibility of long COVID research and contribute to the management of the growing scientific knowledge on long COVID.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.