Evidence map›Paper›PMID 38902647›Full record

ArticleBMC geriatrics2024

Effect of glucose variability on the mortality of adults aged 75 years and over during the first year of the COVID-19 pandemic.

Miguel A Salinero-Fort, F Javier San Andrés-Rebollo, Juan Cárdenas-Valladolid, José Mostaza, Carlos Lahoz, Fernando Rodriguez-Artalejo, Paloma Gómez-Campelo, Pilar Vich-Pérez, Rodrigo Jiménez-García, José M de-Miguel-Yanes and 4 more

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Influenza vaccination in older people: a geriatrician's perspective.Aging clinical and experimental research · 2025
    Review
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

14 authors.

Miguel A Salinero-FortDepartment of Health, Foundation for Biosanitary Research and Innovation in Primary Care, The Hospital La Paz Institute for Health Research (IdiPAZ), Alfonso X El Sabio University, Research Network On Chronicity, Primary Care and Health Promotion -RICAPPS-(RICORS), General Subdirectorate of Research and Documentation, Madrid, Spain. miguel.salinero@salud.madrid.org.ORCID 0000-0002-9450-4116
F Javier San Andrés-RebolloFoundation for Biosanitary Research and Innovation in Primary Care, Las Calesas Health Center, Madrid, Spain.
Juan Cárdenas-ValladolidFoundation for Biosanitary Research and Innovation in Primary Care, Information Systems Department, Primary Health Care Management of Madrid, Alfonso X El Sabio University, The Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.
José MostazaLipids and Vascular Risk Unit, Internal Medicine, University Hospital La Paz-Cantoblanco-Carlos III, The Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.
Carlos LahozLipids and Vascular Risk Unit, Internal Medicine, University Hospital La Paz-Cantoblanco-Carlos III, The Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.
Fernando Rodriguez-ArtalejoDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid-IdIPAZ, CIBERESP (CIBER of Epidemiology and Public Health), and IMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain.
Paloma Gómez-CampeloFoundation for Biomedical Research of La Paz University Hospital (FIBHULP), The Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.
Pilar Vich-PérezFoundation for Biosanitary Research and Innovation in Primary Care, Los Alpes Health Center, Madrid, Spain.
Rodrigo Jiménez-GarcíaDepartment of Public Health & Maternal and Child Health, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, 28040, Spain.
José M de-Miguel-YanesSchool of Medicine, Internal Medicine Department, Complutense University of Madrid, Gregorio Marañón General University Hospital, Gregorio Marañón Health Research Institute (IiSGM), Madrid, Spain.
Javier Maroto-RodriguezDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo 4, Madrid, 28029, Spain.
Belén Taulero-EscaleraFoundation for Biosanitary Research and Innovation in Primary Care, Madrid, Spain.
Víctor Iriarte CampoFoundation for Biosanitary Research and Innovation in Primary Care, Madrid, Spain.
Aged-Madrid Study Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo our knowledge, only one study has examined the association between glucose variability (GV) and mortality in the elderly population with diabetes. GV was assessed by HbA1c, and a J-shaped curve was observed in the relationship between HbA1c thresholds and mortality. No study of GV was conducted during the COVID-19 pandemic and its lockdown. This study aims to evaluate whether GV is an independent predictor of all-cause mortality in patients aged 75 years or older with and without COVID-19 who were followed during the first year of the COVID-19 pandemic and its lockdown measures.

methodsThis was a retrospective cohort study of 407,492 patients from the AGED-MADRID dataset aged 83.5 (SD 5.8) years; 63.2% were women, and 29.3% had diabetes. GV was measured by the coefficient of variation of fasting plasma glucose (CV-FPG) over 6 years of follow-up (2015-2020). The outcome measure was all-cause mortality in 2020. Four models of logistic regression were performed, from simple (age, sex) to fully adjusted, to assess the effect of CV-FPG on all-cause mortality.

resultsDuring follow-up, 34,925 patients died (14,999 women and 19,926 men), with an all-cause mortality rate of 822.3 per 10,000 person-years (95% confidence interval (CI), 813.7 to 822.3) (739 per 10,000; 95% CI 728.7 to 739.0 in women and 967.1 per 10,000; 95% CI 951.7 to 967.2 in men). The highest quartile of CV-FPG was significantly more common in the deceased group (40.1% vs. 23.6%; p < 0.001). In the fully adjusted model including dementia (Alzheimer's disease) and basal FPG, the odds ratio for mortality ranged from 1.88 to 2.06 in patients with T2DM and from 2.30 to 2.61 in patients with normoglycaemia, according to different sensitivity analyses.

conclusionsGV has clear implications for clinical practice, as its assessment as a risk prediction tool should be included in the routine follow-up of the elderly and in a comprehensive geriatric assessment. Electronic health records can incorporate tools that allow its calculation, and with this information, clinicians will have a broader view of the medium- and long-term prognosis of their patients.

Indexed as

Blood GlucoseCOVID-19AgedAged, 80 and overCause of DeathDiabetes MellitusFemaleGlycated HemoglobinHumansMaleMortalityPandemicsRetrospective StudiesSARS-CoV-2SpainBlood GlucoseGlycated HemoglobinAgeBlood glucoseCOVID-19Follow-up studiesMortality

Identifiers

PMID38902647
PMCPMC11188234

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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.