ReviewInternational journal of molecular sciences2026
D-Dimer in Viral Respiratory Infections: Established Evidence in COVID-19 and Emerging Evidence in Other Respiratory Viruses.
Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Viral respiratory infections remain a major cause of global morbidity and mortality, with severe disease increasingly recognized to involve profound interactions between inflammation, endothelial dysfunction, coagulation activation, and immunothrombosis. D-dimer, a fibrin degradation product and established biomarker of fibrin turnover, has gained considerable attention because of its strong association with adverse outcomes in coronavirus disease 2019 (COVID-19). This narrative review compares the evidence for D-dimer in COVID-19 with that available for other respiratory viruses and deliberately separates three questions that are frequently conflated: whether D-dimer predicts severity or death (prognostic), whether it identifies or excludes venous thromboembolism (diagnostic), and whether it identifies patients who benefit from anticoagulation (treatment-predictive). In COVID-19, elevated D-dimer is reproducibly associated with disease severity, thromboembolic complications, intensive care unit admission, and mortality, and the association persists after adjustment; however, discrimination is only moderate, incremental value over routine clinical variables has rarely been tested, and randomized trials have not established D-dimer as a treatment-selection biomarker. Outside of COVID-19, the evidence is substantially weaker and uneven: influenza is supported mainly by comparative cohorts, adenovirus by a single unvalidated paediatric prediction model, and the only direct study of D-dimer and clinical severity in bronchiolitis was negative, while for MERS-CoV, parainfluenza, and human metapneumovirus, we identified no study relating D-dimer to a clinical outcome. Moreover, substantial heterogeneity in assay methodology, sampling strategies, and proposed cut-off values restricts standardization and cross-study comparisons. We therefore present COVID-19 as a mechanistic and methodological reference rather than a validated universal rule, and summarize the evidence in a structured table and a visual evidence map. Overall, D-dimer appears to represent an integrated biomarker of coagulation activation, endothelial injury, and systemic inflammation rather than thrombosis alone, supporting its role in risk stratification while underscoring the need for context-specific interpretation. The cross-viral propositions advanced here should be regarded as hypothesis-generating. Future prospective multicentre studies using standardized assays, serial biomarker assessment, and multimarker prediction models are required to establish pathogen-specific prognostic frameworks and define the role of D-dimer in precision medicine for viral respiratory infections.
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.