Evidence map›Paper›PMID 33342426›Full record

SynthesisBMC geriatrics2020

A systematic review assessing the under-representation of elderly adults in COVID-19 trials.

Virginie Prendki, Noam Tau, Tomer Avni, Marco Falcone, Angela Huttner, Laurent Kaiser, Mical Paul, Yaara Leibovici-Weissmann, Dafna Yahav, ESCMID Study Group for Infections in the Elderly (ESGIE)

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
6.3field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 4 syntheses or guidelines pooled it, 86 citations in OpenAlex.

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  4. Real-world effectiveness of COVID-19 vaccines: a literature review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for 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

10 authors at 3 institutions in 4 countries.

Virginie PrendkiDivision of Internal Medicine for the Aged, Geneva University Hospitals, and University of Geneva, Hôpital des Trois-Chêne, Chemin du Pont-Bochet 3, 1226, Genève, Thônex, Switzerland. virginie.prendki@hcuge.ch.ORCID 0000-0003-1315-2938
Noam TauDepartment of Diagnostic Imaging, Chaim Sheba Medical Center, Ramat Gan, Israel.
Tomer AvniSackler Faculty of Medicine, Tel-Aviv University, Ramat Aviv, Tel Aviv, Israel.
Marco FalconeInfectious Diseases Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Angela HuttnerFaculty of Medicine, University of Geneva, Geneva, Switzerland.
Laurent KaiserFaculty of Medicine, University of Geneva, Geneva, Switzerland.
Mical PaulDivision of Infectious Diseases, Rambam Health Care Campus, Haifa, Israel.
Yaara Leibovici-WeissmannSackler Faculty of Medicine, Tel-Aviv University, Ramat Aviv, Tel Aviv, Israel.
Dafna YahavSackler Faculty of Medicine, Tel-Aviv University, Ramat Aviv, Tel Aviv, Israel.
ESCMID Study Group for Infections in the Elderly (ESGIE)
Tel Aviv University · ILUniversity of Geneva · CHUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease (COVID-19) has caused a pandemic threatening millions of people worldwide. Yet studies specifically assessing the geriatric population are scarce. We aimed to examine the participation of elderly patients in therapeutic or prophylactic trials on COVID-19.

methodsIn this review, randomized controlled trials (RCTs; n = 12) comparing therapeutic or prophylactic interventions registered on preprint repositories and/or published since December 2019 were analyzed. We searched in PubMed, leading journals websites, and preprint repositories for RCTs and large observational studies. We aimed to describe the age of included patients, the presence of an upper age limit and of adjusted analyses on age, any exclusion criteria that could limit participation of elderly adults such as comorbidities, cognitive impairment, limitation of life expectancy; and the assessment of long-term outcomes such as the need of rehabilitation or institutionalization. Mean participant ages were reported and compared with observational studies.

resultsTwelve RCTs assessing drug therapy for COVID-19 were included. Mean age of patients included in RCTs was 56.3 years. An upper age limit was applied in three published trials (25%) and in 200/650 (31%) trials registered at clinicaltrials.gov . One trial reported a subgroup analysis in patients ≥65. Patients were excluded for liver-function abnormalities in eight trials, renal disease in six, cardiac disease or risk of torsade de pointes in five, and four for cognitive or mental criteria, which are frequent comorbidities in the oldest patients. Only three trials allowed a family member to provide consent. Patients enrolled in RCTs were on average 20 years younger than those included in large (n ≥ 1000) observational studies. Seven studies had as their primary outcome a clinical endpoint, but none reported cognitive, functional or quality of life outcomes or need for rehabilitation or long-term care facility placement.

conclusionsElderly patients are clearly underrepresented in RCTs, although they comprise the population hardest hit by the COVID-19 pandemic. Long-term outcomes such as the need of rehabilitation or institutionalization were not reported. Future investigations should target specifically this vulnerable population.

Indexed as

CoronavirusCOVID-19AdultAgedHumansPandemicsQuality of LifeSARS-CoV-2Clinical trials, systematic reviewCOVID-19Elderly

Identifiers

PMID33342426
PMCPMC7749979
OpenAlexW3112872259

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.