Evidence map›Paper›PMID 42328584›Full record

ArticleFrontiers in medicine2026

Utilizing CT chest imaging for the diagnosis and monitoring of COVID infections and emergency intensive care unit strategic treatment.

Linling Chen, Yongjia Wu

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. 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

2 authors.

Linling ChenDepartment of Emergency Medicine, The First People's Hospital of Fuyang Hangzhou, Hangzhou, China.
Yongjia WuDepartment of Emergency Medicine, The First People's Hospital of Fuyang Hangzhou, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic has posed significant challenges to diagnosis, particularly when Real-time reverse transcription-polymerase chain reaction (RT-PCR) was scarce. Methods: This study evaluates the diagnostic validity of Computed tomography (CT) and its impact on patient treatment when RT-PCR was unavailable. A retrospective examination of 50 symptomatic patients from December 2022 to June 2023 was conducted. All patients underwent non-contrast chest CT scans following institutional ethical approval. CT images were analyzed by experienced radiologists, assessing CT likelihood and severity. RT-PCR tests were also conducted, and patient management decisions were recorded. Results: The patient group had a mean age of 67.2 years (range 32-89 years), with 64.9% male. Ground-glass opacity (GGO) was the most common CT finding (56.8%), often peripheral, multilobar, and bilateral. Two CT phenotypes were identified. CT demonstrated high sensitivity compared to RT-PCR. Conclusion: As CT severity levels were higher in our patients, it becomes a crucial tool for early COVID-19 detection and management. Prompt CT exams, especially within 5 days of symptom onset, improve diagnostic precision. Specific CT phenotypes and severity scores provide valuable information for predicting disease severity and guiding patient management.

Indexed as

computed tomographycoronavirusCOVID-19pandemicstrategic treatment

Identifiers

PMID42328584
PMCPMC13280926

What OpenQuestion holds

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LicenceCC BY
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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.