Evidence map›Paper›PMID 42769809›Full record

ArticleERJ open research2026

Emphysema Severity Index: a new spirometric parameter in epidemiology.

Sara Maio, Giovanni Viegi, Laura Carrozzi, Sandra Baldacci, Giuseppe Sarno, Anna Angino, Ilaria Stanisci, Sofia Tagliaferro, Patrizia Silvi, Giovanni Cenerini and 5 more

Abstract read
In one paragraph

Article in ERJ open research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Sara MaioInstitute of Clinical Physiology, National Research Council, Pisa, Italy.ORCID https://orcid.org/0000-0001-6363-8544
Giovanni ViegiInstitute of Clinical Physiology, National Research Council, Pisa, Italy.
Laura CarrozziDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.
Sandra BaldacciInstitute of Clinical Physiology, National Research Council, Pisa, Italy.
Giuseppe SarnoInstitute of Clinical Physiology, National Research Council, Pisa, Italy.
Anna AnginoInstitute of Clinical Physiology, National Research Council, Pisa, Italy.
Ilaria StanisciInstitute of Clinical Physiology, National Research Council, Pisa, Italy.
Sofia TagliaferroInstitute of Clinical Physiology, National Research Council, Pisa, Italy.
Patrizia SilviInstitute of Clinical Physiology, National Research Council, Pisa, Italy.
Giovanni CeneriniDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.
Michele PaladinaDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.
Maria Elena OcchipintiDivision of Radiology, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Matteo PaolettiDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Massimo PistolesiDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Francesco PistelliDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.ORCID https://orcid.org/0000-0001-5612-6364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Emphysema Severity Index (ESI) is a recently developed parameter describing the curvilinear shape of the expiratory flow/volume curve to evaluate the emphysema contribution to airflow obstruction (AO), as observed in COPD patients and geriatric populations. The aim of the present study was to assess ESI usefulness in respiratory epidemiology studies where spirometry is typically the only available objective tool. Methods: An adult population sample of Pisa (Central Italy) (n=685, 47.3% male, mean age 53.3 years) participated in an epidemiological survey through standardised questionnaire and spirometry (2009-2011); information on hospital admissions was available up to 2017. The input variables for the ESI computing algorithm are peak expiratory flow, forced vital capacity (FVC) and the forced expiratory flows at 25%, 50% and 75% of FVC. ESI is a numerical value ranging from 0 (no emphysema) to 10 (very severe emphysema). Statistics included descriptive analyses, Kruskas-Wallis nonparametric test and logistic regression models. Results: The ESI mean±sd value was: 1.16±0.78; median (IQR) 0.98 (0.39). The ESI was significantly higher in males, ex-smokers, the elderly, subjects with asthma/COPD, and in those with limited daily activities, higher number of doctor visits and hospital admission for respiratory disease. For each increment of an ESI IQR, higher odds of respiratory outcomes, daily activity limitations and use of health services emerged in the total sample, but also in subjects without AO. Conclusions: ESI represents a potentially valuable indicator in epidemiological surveys on the general population and allows early changes in lung function to be identified also in subjects without AO, which is valuable for secondary prevention.

Identifiers

PMID42769809
PMCPMC13591299

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