Evidence map›Paper›PMID 34788655›Full record

ArticleJournal of clinical epidemiology2022

The methodology of a "living" COVID-19 registry development in a clinical context.

Chiara Arienti, Silvia Campagnini, Lorenzo Brambilla, Chiara Fanciullacci, Stefano Giuseppe Lazzarini, Andrea Mannini, Michele Patrini, Maria Chiara Carrozza

Abstract readMulticenter Study
In one paragraph

Article in Journal of clinical epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Observational
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.

Chiara ArientiIRCCS Fondazione Don Carlo Gnocchi, Via Capecelatro, 66 - 20100 Milan, Italy. Electronic address: carienti@dongnocchi.it.
Silvia CampagniniIRCCS Fondazione Don Carlo Gnocchi, Via di Scandicci 269 - 50143 Firenze, Italy; The Biorobotics Institute, Scuola Superiore Sant'Anna, Viale Rinaldo Piaggio 34 - 56025 Pontedera, Italy.
Lorenzo BrambillaIRCCS Fondazione Don Carlo Gnocchi, Via Capecelatro, 66 - 20100 Milan, Italy.
Chiara FanciullacciIRCCS Fondazione Don Carlo Gnocchi, Via di Scandicci 269 - 50143 Firenze, Italy.
Stefano Giuseppe LazzariniIRCCS Fondazione Don Carlo Gnocchi, Via Capecelatro, 66 - 20100 Milan, Italy.
Andrea ManniniIRCCS Fondazione Don Carlo Gnocchi, Via di Scandicci 269 - 50143 Firenze, Italy; The Biorobotics Institute, Scuola Superiore Sant'Anna, Viale Rinaldo Piaggio 34 - 56025 Pontedera, Italy.
Michele PatriniIRCCS Fondazione Don Carlo Gnocchi, Via Capecelatro, 66 - 20100 Milan, Italy.
Maria Chiara CarrozzaIRCCS Fondazione Don Carlo Gnocchi, Via di Scandicci 269 - 50143 Firenze, Italy; The Biorobotics Institute, Scuola Superiore Sant'Anna, Viale Rinaldo Piaggio 34 - 56025 Pontedera, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to describe an innovative methodology of a registry development, constantly updated for the scientific assessment and analysis of the health status of the population with COVID-19. STUDY DESIGN AND

settingA methodological study design to develop a multi-site, Living COVID-19 Registry of COVID-19 patients admitted in Fondazione Don Gnocchi centres started in March 2020.

resultsThe integration of the living systematic reviews and focus group methodologies led to a development of a registry which includes 520 fields filled in for 748 COVID-19 patients recruited from 17 Fondazione Don Gnocchi centres. The result is an evidence and experience-based registry, according to the evolution of a new pathology which was not known before outbreak of March 2020 and with the aim of building knowledge to provide a better quality of care for COVID-19 patients.

conclusionA Living COVID-19 Registry is an open, living and up to date access to large-scale patient-level data sets that could help identifying important factors and modulating variable for recognising risk profiles and predicting treatment success in COVID-19 patients hospitalized. This innovative methodology might be used for other registries, to be sure which the data collected is an appropriate means of accomplishing the scientific objectives planned. CLINICAL TRIAL REGISTRATION NUMBER: not applicable.

Indexed as

RegistriesCOVID-19Evidence-Based PracticeFocus GroupsHealth StatusHumansItalySurvivorsCOVID-19Living systematic reviewmethodological studyReal World DataRegistryrehabilitation

Identifiers

PMID34788655
PMCPMC8590739

What OpenQuestion holds

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Registered trials

None linked

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.