Evidence map›Paper›PMID 36403358›Full record

ArticleRespiratory medicine and research2022

Fibrotic-like abnormalities notably prevalent one year after hospitalization with COVID-19.

Bas F M van Raaij, J Lauran Stöger, Chris Hinnen, Kristell M Penfornis, Cindy M M de Jong, Frederikus A Klok, Anna H E Roukens, D S Veldhuijzen, M Sesmu Arbous, Raymond Noordam and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Respiratory medicine and research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Recovery of lung function during the first year after COVID-19: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2025
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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

12 authors at 2 institutions in 1 country.

Bas F M van RaaijDepartment of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands.
J Lauran StögerDepartment of Radiology, Leiden University Medical Centre, Leiden, The Netherlands.
Chris HinnenLUMC Oncology Centre, Psycho-Oncology unit, Leiden University Medical Centre, Leiden, The Netherlands.
Kristell M PenfornisDepartment of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands.
Cindy M M de JongDepartment of Medicine - Thrombosis and Haemostasis, Leiden University Medical Centre, Leiden, The Netherlands.
Frederikus A KlokDepartment of Medicine - Thrombosis and Haemostasis, Leiden University Medical Centre, Leiden, The Netherlands.
Anna H E RoukensDepartment of Infectious Diseases, Leiden University Medical Centre, Leiden, The Netherlands.
D S VeldhuijzenFaculty of Social and Behavioural Sciences, Institute of Psychology, Leiden University, Leiden, The Netherlands.
M Sesmu ArbousDepartment of Intensive Care, Leiden University Medical Centre, Leiden, The Netherlands.
Raymond NoordamDepartment of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands.
E R MargesDepartment of Pulmonary Diseases, Leiden University Medical Centre, Leiden, The Netherlands.
J J Miranda GeelhoedDepartment of Pulmonary Diseases, Leiden University Medical Centre, Leiden, The Netherlands. Electronic address: j.j.m.geelhoed@lumc.nl.
Leiden University · NLLeiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated whether COVID-19 leads to persistent impaired pulmonary function, fibrotic-like abnormalities or psychological symptoms 12 months after discharge and whether severely ill patients (ICU admission) recover differently than moderately ill patients.

methodsThis single-centre cohort study followed adult COVID-19 survivors for a period of one year after discharge. Patients underwent pulmonary function tests 6 weeks, 3 months and 12 months after discharge and were psychologically evaluated at 6 weeks and 12 months. Computed tomography (CT) was performed after 3 months and 12 months.

results66 patients were analysed, their median age was 60.5 (IQR: 54-69) years, 46 (70%) patients were male. 38 (58%) patients had moderate disease and 28 (42%) patients had severe disease. Most patients had spirometric values within normal range after 12 months of follow-up. 12 (23%) patients still had an impaired lung diffusion after 12 months. Impaired pulmonary diffusion capacity was associated with residual CT abnormalities (OR 5.1,CI-95: 1.2-22.2), shortness of breath (OR 7.0, CI-95: 1.6-29.7) and with functional limitations (OR 5.8, CI-95: 1.4-23.8). Ground-glass opacities resolved in most patients during follow-up. Resorption of reticulation, bronchiectasis and curvilinear bands was rare and independent of disease severity. 81% of severely ill patients and 37% of moderately ill patients showed residual abnormalities after 12 months (OR 8.1, CI-95: 2.5-26.4). A minority of patients had symptoms of post-traumatic stress disorder, anxiety, depression and cognitive failure during follow-up.

conclusionSome patients still had impaired lung diffusion 12 months after discharge and fibrotic-like residual abnormalities were notably prevalent, especially in severely ill patients.

Indexed as

COVID-19AdultCohort StudiesDisease ProgressionFemaleHospitalizationHumansMaleMiddle AgedPatient AcuityPatient DischargeChest imagingCOVID-19Pulmonary fibrosisPulmonary functionRespiratory infection

Identifiers

PMID36403358
PMCPMC9670737
OpenAlexW4309259611

What OpenQuestion holds

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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.