Evidence map›Paper›PMID 32512494›Full record

ArticleMedical hypotheses2020

Could nutritional and functional status serve as prognostic factors for COVID-19 in the elderly?

Irene Lidoriki, Maximos Frountzas, Dimitrios Schizas

Open access · greenAbstract read
In one paragraph

Article in Medical hypotheses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 12% of its field
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Irene LidorikiFirst Department of Surgery, National and Kapodistrian University of Athens, Laikon General Hospital, Athens, Greece.
Maximos FrountzasFirst Propaedeutic Department of Surgery, National and Kapodistrian University of Athens, Hippocration General Hospital, Athens, Greece. Electronic address: froumax@hotmail.com.
Dimitrios SchizasFirst Department of Surgery, National and Kapodistrian University of Athens, Laikon General Hospital, Athens, Greece.
Laiko General Hospital of Athens · GRHippocration General Hospital · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geriatric patients seem to be the most vulnerable group in COVID-19. These patients are usually characterized by impaired mobilization and malnutrition. In addition, obesity has been correlated with increased mortality rates after COVID-19 infection, highlighting the role of nutrition in prognosis of COVID-19 as well. In the past, several indices of nutritional status (GNRI) and functional status (ECOG performance status, Barthel Index, Handgrip Strength) have demonstrated a prognostic ability for hospitalized patients with influenza-like respiratory infections from coronavirus, metapneumovirus, parainfluenza and rhinovirus. Our hypothesis suggests that the previously mentioned nutritional and functional status indices, combined with the pneumonia severity index (CRB-65), could be useful in prognosis of morbidity and mortality of the elderly after the novel COVID-19 infection. Our hypothesis, is the first in the literature, which suggests a prognostic association between nutritional status of patients and COVID-19 infection, offering a quick and low-cost prognostic tool for COVID-19 in the elderly.

Indexed as

Functional StatusAgedAged, 80 and overCOVID-19Hand StrengthHumansMalnutritionModels, BiologicalNutritional StatusPrognosisRisk FactorsCOVID-19ElderlyFrailtyFunctional statusMalnutrition

Identifiers

PMID32512494
PMCPMC7264929
OpenAlexW3029093594

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.