Evidence map›Paper›PMID 42424842›Full record

Trial reportThe Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases

Corticosteroid treatment for post-COVID-19 persistent interstitial lung disease: a randomized clinical trial.

Rosângela Villela Garcia, Marcel Koenigkam-Santos, Lucas Botelho de Azevedo, Danilo Tadao Wada, Ada Clarice Gastaldi, Elcio Oliveira Vianna

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

6 authors.

Rosângela Villela GarciaUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Department of Medicine, Ribeirão Preto, SP, Brazil.
Marcel Koenigkam-SantosUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Department of Medical Imaging, Hematology, and Clinical Oncology, Ribeirão Preto, SP, Brazil.
Lucas Botelho de AzevedoUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Department of Medicine, Ribeirão Preto, SP, Brazil.
Danilo Tadao WadaUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Department of Medical Imaging, Hematology, and Clinical Oncology, Ribeirão Preto, SP, Brazil.
Ada Clarice GastaldiUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Department of Health Sciences, Ribeirão Preto, SP, Brazil.
Elcio Oliveira ViannaUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Department of Medicine, Ribeirão Preto, SP, Brazil. Electronic address: evianna@fmrp.usp.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the efficacy of prednisolone in the treatment of persistent interstitial lung disease following severe SARS-CoV-2 pneumonia. A single-center, randomized, double-blind, placebo-controlled clinical trial was conducted. All participants presented residual pulmonary opacities on high-resolution chest computed tomography 4-months after COVID-19 diagnosis. Patients received either prednisolone (1 mg/kg/day for 1-month followed by gradual dose reduction) or placebo and were reassessed after 3- and 6-months of follow-up. Evaluations included clinical assessment; measurement of erythrocyte sedimentation rate, C-reactive protein, and D-dimer levels; pulmonary function tests; 6-Minute Walk Test (6MWT); Modified Medical Research Council (MRC) dyspnea scale; Short Form-36 (SF-36) quality of life questionnaire; and Post-COVID-19 Functional Status (PCFS) Scale. Statistical analyses were performed using analysis of variance (ANOVA) and log-binomial regression models. The placebo group (n = 31) comprised 60% male participants with a median age of 51-years, whereas the prednisolone group (n = 35) included 52% male participants with a median age of 53-years. Baseline comorbidities and treatments prior to randomization were comparable between groups. During follow-up, forced vital capacity (% predicted) increased from 78% to 89% in the placebo group and from 83% to 91% in the prednisolone group. Significant improvements were also observed in forced expiratory volume in one second, diffusion lung capacity, and maximal expiratory pressure in both groups. No significant differences were identified between groups regarding MRC dyspnea scores, SF-36 domains, or PCFS scale at baseline or at the final evaluation. Functional capacity scores in the SF-36 increased from 55 to 71 in the placebo group and from 57 to 69 in the prednisolone group. Walking distance increased significantly only in the prednisolone group. Tomographic variables demonstrated similar progression patterns in both groups throughout follow-up. In conclusion, systemic corticosteroid therapy with prednisolone did not provide additional benefits in patients with post-COVID interstitial lung disease. Both placebo and prednisolone groups exhibited comparable functional improvements over the six-month follow-up period.

Indexed as

COVID-19COVID-19 Drug TreatmentGlucocorticoidsLung Diseases, InterstitialPrednisoloneDouble-Blind MethodFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeQuality of LifeRespiratory Function TestsTomography, X-Ray ComputedTreatment OutcomeGlucocorticoidsPrednisoloneCOVID-19High resolution chest computed tomographyInterstitial lung diseasePost-COVID syndromePulmonary function testSARS-CoV-2Treatment

Identifiers

PMID42424842
PMCPMC13380035

What OpenQuestion holds

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LicenceCC BY
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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.