Evidence map›Paper›PMID 40115551›Full record

ArticleJournal of family medicine and primary care2025

Inflammatory biomarkers and adverse outcome in COVID-19: Prelude for future viral pandemics.

Ankit Kumar, Sushma Yendamuri, Faiz Ahmad, Partha B Mukherjee, Ravi Kumar, Manish Manrai, J Muthukrishnan, Saurabh Dawra

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Ankit KumarDepartment of Medicine, Military Hospital, Shimla, Himachal Pradesh, India.
Sushma YendamuriDepartment of Internal Medicine, Armed Forces Medical College, Pune, Maharashtra, India.
Faiz AhmadCommandant, Military Hospital, Jammu, Jammu and Kashmir, India.
Partha B MukherjeeDepartment of Medicine, Command Hospital, Southern Command, Pune, Maharashtra, India.
Ravi KumarDepartment of Internal Medicine, Armed Forces Medical College, Pune, Maharashtra, India.
Manish ManraiDepartment of Gastroenterology, Command Hospital, Central Command, Lucknow, Uttar Pradesh, India.
J MuthukrishnanDepartment of Internal Medicine, Armed Forces Medical College, Pune, Maharashtra, India.
Saurabh DawraDepartment of Gastroenterology, Command Hospital, Southern Command, Pune, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dysregulated inflammatory response plays a key role in the pathogenesis of COVID-19. The role of inflammatory markers to predict adverse clinical outcome is still controversial. The aim of this study was to analyze the association of inflammatory markers with disease outcomes independent of the effect of age and co-morbidities. Materials and Methods: This is a retrospective analysis of COVID-19 patients admitted at a dedicated COVID center from July 2020 to Mar 2022. Clinical characteristics and inflammatory markers namely serum Ferritin levels, CRP, D-Dimer levels, serum LDH and IL-6 Levels were studied. The following outcome parameters were collected: disease severity at onset and outcome (discharge/death). Results: 48.4% of the of 244 COVID-19 cases included had severe disease while 51.6% had moderate disease. Mean age was 61.3 ± 14.17 years and 71.7% were males. Primary Hypertension (48.4%) and Diabetes Mellitus (39.3%) were the most common co-morbidities. Increasing age, smoking, and alcohol consumption were associated with severe disease. CRP, D-dimer, and IL-6 were independent risk factors for disease severity while CRP, D dimer, LDH, Ferritin, and NLR (Neutrophil Lymphocyte ratio) were independent predictors of disease mortality. D-dimer was the most sensitive (95.8%) and specific (92.2%) marker to predict disease severity and serum LDH was the most sensitive (74.7%) to predict disease mortality at baseline. Conclusion: Measurement of inflammatory markers might assist clinicians in predicting disease severity and prognosis of COVID-19. This may serve as a benchmark to understand the role of inflammatory markers in other diseases associated with dysregulated inflammatory response.

Indexed as

COVID-19CRPD-DimerIL6inflammationLDHserum ferritin

Identifiers

PMID40115551
PMCPMC11922368

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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.