ReviewProgress in cardiovascular diseases
Post pandemic research priorities: A consensus statement from the HL-PIVOT.
Review in Progress in cardiovascular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Research prioritisation in preparedness for and response to outbreaks of high-consequence pathogens: a scoping review.BMC medicine · 2025Article
- Barriers and Facilitators to Cardiovascular Rehabilitation Programmes for People with Lower Limb Amputation: A Survey of Clinical Practice in Canada.Physiotherapy Canada. Physiotherapie Canada · 2024Article
- Cellular Immunity of SARS-CoV-2 in the Borriana COVID-19 Cohort: A Nested Case-Control Study.Epidemiologia (Basel, Switzerland) · 2024Article
- Clinician's Commentary on Moncion et al.Physiotherapy Canada. Physiotherapie Canada · 2024Article
- PQR cascade: A system proposed for research prioritization in applied sciences.Journal of education and health promotion · 2024Article
- COVID-19 retreats and world recovers: A silver lining in the dark cloud.Health care science · 2023Review
- A united approach to promoting healthy living behaviours and associated health outcomes: a global call for policymakers and decisionmakers.Journal of public health policy · 2023Review
- The necessity revealed by COVID-19 pandemic: Paradigm shift of Iran's healthcare system.Frontiers in public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We have been amid unhealthy living and related chronic disease pandemics for several decades. These longstanding crises have troublingly synergized with the coronavirus disease 2019 (COVID-19) pandemic. The need to establish research priorities in response to COVID-19 can be used to address broad health and wellbeing, social and economic impacts for the future is emerging. Accordingly, this paper sets out a series of research priorities that could inform interdisciplinary collaboration between clinical sciences, public health, business, technology, economics, healthcare providers, and the exercise science/sports medicine communities, among others. A five-step methodology was used to generate and evaluate the research priorities with a focus on broad health and well-being impacts. The methodology was deployed by an international and interdisciplinary team from the Healthy Living for Pandemic Event Protection (HL- PIVOT) network. This team were all engaged in responding to the Pandemic either on the 'front-line' and/or in leadership positions ensuring the currency and authenticity of the process. Eight research priorities were identified clustered into two groups: i) Societal & Environmental, and ii) Clinical. Our eight research priorities are presented with insight from previously published research priorities from other groups.
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.