Evidence map›Paper›PMID 37803100›Full record

ReviewClinical and experimental medicine2023

Diagnosis of interstitial lung disease (ILD) secondary to systemic sclerosis (SSc) and rheumatoid arthritis (RA) and identification of 'progressive pulmonary fibrosis' using chest CT: a narrative review.

Antonio Poerio, Eleonora Carlicchi, Maurizio Zompatori

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Clinical and experimental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Antonio PoerioRadiology Unit - S. Maria della Scaletta Hospital, Imola, Italy. a.poerio@ausl.imola.bo.it.
Eleonora CarlicchiRadiology Unit - Niguarda Hospital, Milan, Italy.ORCID https://orcid.org/0000-0003-0464-5431
Maurizio ZompatoriDepartment of Radiology - Villa Erbosa, Gruppo San Donato, Bologna, Italy.ORCID https://orcid.org/0000-0002-1823-9955
Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · ITSacmi (Italy) · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interstitial lung disease (ILD) is a frequent manifestation of connective tissue diseases (CTDs), with incidence and prevalence variously assessed in the literature but reported in up to 30% of patients, with higher frequency in rheumatoid arthritis (RA) and systemic sclerosis (SSc). Recent years have seen a growing interest in the pulmonary manifestations of ILD-CTDs, mainly due to the widening of the use of anti-fibrotic drugs initially introduced exclusively for IPF, and radiologists play a key role because the lung biopsy is very rarely used in these patients where the morphological assessment is essentially left to imaging and especially HRCT. In this narrative review we will discuss, from the radiologist's point of view, the most recent findings in the field of ILD secondary to SSc and RA, with a special focus about the progression of disease and in particular about the 'progressive pulmonary fibrosis' (PPF) phenotype, and we will try to address two main issues: How to predict a possible evolution and therefore a worse prognosis when diagnosing a new case of ILD-CTDs and how to assess the progression of an already diagnosed ILD-CTDs.

Indexed as

Arthritis, RheumatoidLung Diseases, InterstitialPulmonary FibrosisScleroderma, SystemicHumansLungTomography, X-Ray ComputedChest CTConnective tissue diseaseIntersitial lung diseasePulmonary fibrosisRheumatoid arthritisSystemic sclerosis

Identifiers

PMID37803100
OpenAlexW4387410020

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.