SynthesisInfluenza and other respiratory viruses2025
A Systematic Review of the Markers of Severity in Acute Respiratory Infections to Inform Primary Care Surveillance.
Synthesis in Influenza and other respiratory viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of the Markers of Severity in Acute Respiratory Infections to Inform Primary Care Surveillance.Influenza and other respiratory viruses · 2025Pooled it
- A GM-CSF-Flt3L Fused Adjuvant Enhances Immune Responses and Protective Efficacy of Influenza DNA Vaccine in Mice.Vaccines · 2026Article
- Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundPrimary care computerised medical records (CMR) are used to report the incidence of acute respiratory infections (ARI) for public health surveillance. These systems could increase their utility by also reporting population-level severity of ARI; however, this is rarely done.
objectivesTo identify candidate markers of ARI severity suitable for use in primary care CMR-based surveillance.
methodsWe undertook a systematic review of bibliographic databases and grey literature. Eligible studies reported characteristics for > 500 patients with ARI, severe ARI, influenza-like illness or suspected COVID-19. Studies had to report at least one potential marker of severity. A panel of clinical primary care informaticians reviewed candidate severity markers and assessed each for severity, specificity, relevance to primary care and whether it was likely to be recorded in a CMR.
resultsWe included 126 studies from 84 countries. Seventy-seven candidate severity markers were identified across 11 groups. These included four outcome groups (complications, hospital events, intensive care events and death) and seven predictor groups (symptoms, signs, scores, investigations, treatments, absenteeism and treatment-seeking behaviour). Thirty markers were considered most suitable for primary care CMR-based ARI surveillance: 7 outcomes (such as hospital admission, attendance and death) and 23 predictors (such as shortness of breath, oxygen levels, work absence and antibiotics). Predictors were generally considered more timely, as they are likely recorded during the consultation.
conclusionsThis review provides a list of severity markers that could support the development of population-level severity indicators for ARI surveillance in primary care. This could improve real-time situational awareness during respiratory outbreaks.
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.