Evidence map›Paper›PMID 35315262›Full record

ArticleJournal of public health research2022

18 months computed tomography follow-up after Covid-19 interstitial pneumonia.

Michela Barini, Ilaria Percivale, Pietro Danna, Vittorio Longo, Pietro Costantini, Andrea Paladini, Chiara Airoldi, Mattia Bellan, Luca Saba, Alessandro Carriero

Open access · goldAbstract read
In one paragraph

Article in Journal of public health research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  5. Article
  6. Review
  7. Article
  8. 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 at 3 institutions in 1 country.

Michela BariniDepartment of Diagnosis and Treatment Services, Radiodiagnostics, Azienda Ospedaliero Universitaria Maggiore della Carità, Novara. barinimichela@gmail.com.
Ilaria PercivaleDepartment of Diagnosis and Treatment Services, Radiodiagnostics, Azienda Ospedaliero Universitaria Maggiore della Carità, Novara. ilaperci@gmail.com.
Pietro DannaDepartment of Diagnosis and Treatment Services, Radiodiagnostics, Azienda Ospedaliero Universitaria Maggiore della Carità, Novara. psc.dnn@gmail.com.
Vittorio LongoDepartment of Diagnosis and Treatment Services, Radiodiagnostics, Azienda Ospedaliero Universitaria Maggiore della Carità, Novara. vittorio.longo01@gmail.com.
Pietro CostantiniDepartment of Diagnosis and Treatment Services, Radiodiagnostics, Azienda Ospedaliero Universitaria Maggiore della Carità, Novara. pietro.costantini.md@gmail.com.
Andrea PaladiniDepartment of Diagnosis and Treatment Services, Radiodiagnostics, Azienda Ospedaliero Universitaria Maggiore della Carità, Novara. andreapaladini1988@gmail.com.
Chiara AiroldiDepartment of Translational Medicine, University of Piemonte Orientale, Novara. chiara.airoldi@uniupo.it.
Mattia BellanDepartment of Translational Medicine, University of Piemonte Orientale, Novara. mattia.bellan@med.uniupo.it.
Luca SabaDepartment of Medical Science, University of Cagliari. lucasabamd@gmail.com.
Alessandro CarrieroDepartment of Diagnosis and Treatment Services, Radiodiagnostics, Azienda Ospedaliero Universitaria Maggiore della Carità, Novara. profcarriero@virgilio.it.
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITAzienda Ospedaliero Universitaria Maggiore della Carita · ITUniversity of Cagliari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur aim is to evaluate the possible persistence of lung parenchyma alterations, in patients who have recovered from Covid-19. DESIGN AND

methodsWe enrolled a cohort of 115 patients affected by Covid-19, who performed a chest CT scan in the Emergency Department and a chest CT 18 months after hospital discharge. We performed a comparison between chest CT scan 18 months after discharge and spirometric data of patients enrolled. We obtained quantitative scores related to well-aerated parenchyma, interstitial lung disease and parenchymal consolidation. A radiologist recorded the characteristics indicated by the Fleischner Society and "fibrotic like" changes, expressed through a CT severity score ranging from 0 (no involvement) to 25 (maximum involvement).

results115 patients (78 men, 37 women; mean age 60.15 years old ±12.52). On quantitative analysis, after 18 months, the volume of normal ventilated parenchyma was significantly increased (16.34 points on average ±14.54, p<0.0001). Ground-glass opacities and consolidation values tend to decrease (-9.80 and -6.67 points, p<0.0001). On semiquantitative analysis, pneumonia extension, reactive lymph nodes and crazy paving reached statistical significance (p<0.0001). The severity score decreased by 2.77 points on average (SD 4.96; p<0.0001). There were not statistically significant changes on "fibrotic-like" changes correlated with level of treatment and there was not a statistically significant correlation between CT lung score and spirometric results obtained 18 months after discharge.

conclusionsPatients recovered from Covid-19 seem to have an improvement of ventilated parenchyma and "fibrotic-like" alterations. The level of treatment does not appear to influence fibrotic changes.

Identifiers

PMID35315262
PMCPMC8973211
OpenAlexW4221134390

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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.