Evidence map›Paper›PMID 34386546›Full record

ArticleOpen forum infectious diseases2021

Long-Term Coronavirus Disease 2019 Complications in Inpatients and Outpatients: A One-Year Follow-up Cohort Study.

Michele Davide Maria Lombardo, Andrea Foppiani, Giuseppe Michele Peretti, Laura Mangiavini, Alberto Battezzati, Simona Bertoli, Filippo Martinelli Boneschi, Gian Vincenzo Zuccotti

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 11 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

52 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  4. SARS-CoV-2 post-acute sequelae in previously hospitalised patients: systematic literature review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2023
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  10. Long-Term Consequences of COVID-19 at 6 Months and Above: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022
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  11. Prevalence of post-acute COVID-19 syndrome symptoms at different follow-up periods: a systematic review and meta-analysis.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2022
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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

8 authors.

Michele Davide Maria LombardoResidency program in Orthopedic and Traumatology, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0003-0121-2550
Andrea FoppianiInternational Center for the Assessment of Nutritional Status, Department of Food Environmental and Nutritional Sciences, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0003-2803-7713
Giuseppe Michele PerettiDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0001-9341-7187
Laura MangiaviniDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0003-1892-1249
Alberto BattezzatiInternational Center for the Assessment of Nutritional Status, Department of Food Environmental and Nutritional Sciences, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0003-4134-0557
Simona BertoliInternational Center for the Assessment of Nutritional Status, Department of Food Environmental and Nutritional Sciences, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0001-5867-8074
Filippo Martinelli BoneschiIRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico, Neurology Unit, Milan, Italy.ORCID https://orcid.org/0000-0002-9955-1368
Gian Vincenzo ZuccottiDepartment of Biomedical and Clinical Sciences "L. Sacco", Pediatric Clinical Research Center "Romeo and Enrica Invernizzi", University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0002-2795-9874

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the coronavirus pandemic spreads, more and more people are infected with severe acute respiratory syndrome coronavirus 2. The short- and medium-term effects of the infection have been described, but the description of the long-term sequelae is lacking in the literature.

methodsPatients healed from coronavirus disease 2019 (COVID-19) from February 2020 to May 2020 were considered for inclusion in this study, regardless of the severity of the disease during the acute phase. Eligible patients were consecutively contacted and a semistructured interview was administered between February and March 2021 by trained medical staff.

resultsThree hundred three patients were eligible and accepted to participate in the study and were enrolled. Of those surveyed, most patients (81%) reported at least 1 symptom, and the most prevalent symptoms were fatigue (52%), pain (48%), and sleep disorders (47%). Sensory alterations were present in 28% of surveyed patients, but in most of these cases (74% of those affected by sensory alterations or 20% of the overall sample) symptoms reported were either anosmia or dysgeusia. Higher prevalence was generally observed with increasing age, although the most relevant differences were observed when comparing young versus middle-aged adults.

conclusionsAt 12 months after acute infection, COVID-19 survivors were still suffering from symptoms identified at shorter follow-up, and the most frequent symptoms included fatigue, pain, and sleep disorders. A more severe impairment in the acute phase did not seem to predict more severe complications.

Indexed as

COVID-19COVID pandemicCOVID sequelaelong COVID

Identifiers

PMID34386546
PMCPMC8344801

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.