Evidence map›Paper›PMID 33284353›Full record

SynthesisJournal of rehabilitation medicine2021

Rehabilitation setting during and after Covid-19: An overview on recommendations.

Francesco Agostini, Massimiliano Mangone, Pierangela Ruiu, Teresa Paolucci, Valter Santilli, Andrea Bernetti

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of rehabilitation medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 3 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

58 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  18. The Predictors of Long COVID in Southeastern Italy.Journal of clinical medicine · 2023
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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

6 authors.

Francesco AgostiniDepartment of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University, Italy. E-mail: francescoagostini.ff@gmail.com.
Massimiliano Mangone
Pierangela Ruiu
Teresa Paolucci
Valter Santilli
Andrea Bernetti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this review is to identify the best evidence to define rehabilitative approaches to acute and post-acute phases of coronavirus 2019 (COVID-19) disease.

methodsA literature search (of PubMed, Google Scholar, PEDro and Cochrane databases) was perform-ed for relevant publications from January to April 2020.

resultsA total of 2,835 articles were retrieved, and the search resulted in a final total 31 published arti-cles. A narrative synthesis of the selected articles was then performed. Some studies examine the effect of the pandemic on rehabilitation services and provide suggestions for a new reorganization of these services. Other studies focus on COVID-19 sequelae, formulating recommendations for rehabilitative interventions.

conclusionFor COVID-19 patients, an integrated rehabilitative process is recommended, involving a multidisciplinary and multi-professional team provid-ing neuromuscular, cardiac, respiratory, and swallowing interventions, and psychological support, in order to improve patients' quality of life. The intervention of a physician expert in rehabilitation should assess the patient, and a dedicated intervention set up after thorough assessment of the patient's clinical condition, in collaboration with all rehabilitation team professionals.

Indexed as

AftercareAnxietyCOVID-19HumansPandemicsPatient Care TeamQuality of LifeSARS-CoV-2COVID-19recommendationrehabilitation

Identifiers

PMID33284353
PMCPMC8772378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.