Evidence map›Paper›PMID 41754190›Full record

Observational studyNutrients2026

Nutritional Risk in Older Adults with Rheumatoid Arthritis: Sex-Specific Patterns and Clinical Implications of the Prognostic Nutritional Index.

Joan M Nolla, Lidia Valencia-Muntalà, Laura Berbel-Arcobé, Diego Benavent, Paola Vidal-Montal, Pol Maymó-Paituvi, Montserrat Roig-Kim, Martí Aguilar-Coll, Javier Narváez, Carmen Gómez-Vaquero

Abstract readObservational Study
In one paragraph

Observational study in Nutrients, 2026. 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. Article
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.

Joan M NollaDepartment of Rheumatology, IDIBELL-Hospital Universitari de Bellvitge, University of Barcelona, 08907 Barcelona, Spain.ORCID 0000-0002-2358-6767
Lidia Valencia-MuntalàDepartment of Rheumatology, IDIBELL-Hospital Universitari de Bellvitge, University of Barcelona, 08907 Barcelona, Spain.
Laura Berbel-ArcobéDepartment of Rheumatology, IDIBELL-Hospital Universitari de Bellvitge, University of Barcelona, 08907 Barcelona, Spain.ORCID 0000-0003-3373-7503
Diego BenaventDepartment of Rheumatology, IDIBELL-Hospital Universitari de Bellvitge, University of Barcelona, 08907 Barcelona, Spain.
Paola Vidal-MontalDepartment of Rheumatology, IDIBELL-Hospital Universitari de Bellvitge, University of Barcelona, 08907 Barcelona, Spain.ORCID 0009-0003-0034-2270
Pol Maymó-PaituviDepartment of Rheumatology, IDIBELL-Hospital Universitari de Bellvitge, University of Barcelona, 08907 Barcelona, Spain.
Montserrat Roig-KimDepartment of Rheumatology, IDIBELL-Hospital Universitari de Bellvitge, University of Barcelona, 08907 Barcelona, Spain.ORCID 0009-0005-7874-6747
Martí Aguilar-CollDepartment of Rheumatology, IDIBELL-Hospital Universitari de Bellvitge, University of Barcelona, 08907 Barcelona, Spain.ORCID 0009-0007-2060-146X
Javier NarváezDepartment of Rheumatology, IDIBELL-Hospital Universitari de Bellvitge, University of Barcelona, 08907 Barcelona, Spain.ORCID 0000-0002-1614-8064
Carmen Gómez-VaqueroDepartment of Rheumatology, IDIBELL-Hospital Universitari de Bellvitge, University of Barcelona, 08907 Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesNutritional risk is increasingly recognized as a relevant but under-assessed dimension of rheumatoid arthritis (RA), particularly in older adults managed in outpatient settings. Simple nutritional indices such as the Prognostic Nutritional Index (PNI) may help identify individuals at increased nutritional risk beyond conventional disease activity measures. This study aimed to characterize nutritional risk in older adults with RA using the Prognostic Nutritional Index, explore sex-specific patterns, and identify clinical associations of PNI variability, with complementary analyses focusing on high nutritional risk.

methodsWe conducted an observational cross-sectional study including 275 consecutive adults aged ≥50 years with RA attending routine follow-up at a tertiary rheumatology clinic. Nutritional risk was assessed using the PNI, calculated from serum albumin and total lymphocyte count, and analyzed primarily as a continuous variable and secondarily using established cut-off values. Clinical characteristics, inflammatory markers, body mass index, laboratory parameters, and patient-reported outcomes were recorded. Analyses were stratified by sex. Multivariable linear regression models were used to identify factors associated with PNI variability, and complementary logistic regression analyses were performed to explore factors independently associated with high nutritional risk (PNI < 40).

resultsMore than half of the cohort (53.3%) exhibited PNI values compatible with nutritional risk. Men showed lower PNI values than women, with a markedly greater prevalence of high nutritional risk (18.0% vs. 5.0%,

conclusionsNutritional risk assessed by the PNI is common among older adults with RA. Although sex does not independently determine PNI as a continuous measure, male sex is associated with severe nutritional risk. The PNI captures a clinically relevant dimension of disease burden that extends beyond joint inflammation and traditional activity indices, supporting its use as a pragmatic nutritional screening tool in routine rheumatology practice.

Indexed as

Arthritis, RheumatoidMalnutritionNutritional StatusNutrition AssessmentAgedAged, 80 and overBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrognosisRisk FactorsSex Factorsageingnutritional riskPrognostic Nutritional Indexrheumatoid arthritissex differences

Identifiers

PMID41754190
PMCPMC12942912

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Registered trials

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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.