Evidence map›Paper›PMID 39712526›Full record

ArticleMedical acupuncture2024

Interferon Point Alteration in Hospitalized Patients with and Without COVID-19.

Mehran Rezvani Habibabadi, Mahmoud Saghaei, Ali Ghahramani, Mohammadreza Habibzadeh Siahroadkolaee, Shirin Fattahpour, Sayed Mostafa Hashemi

Abstract read
In one paragraph

Article in Medical acupuncture, 2024. 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.

Mehran Rezvani HabibabadiDepartment of Anesthesiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Mahmoud SaghaeiDepartment of Anesthesiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Ali GhahramaniSchool of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammadreza Habibzadeh SiahroadkolaeeDepartment of Anesthesiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Shirin FattahpourClinical Biochemistry, Craniofacial and Cleft Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Sayed Mostafa HashemiHead and Neck Surgery department, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Integrating traditional Chinese medicine with Western medicine has been extensively studied in managing respiratory disease. Therefore, in this study, we aimed to examine interferon point alteration (IPA) and its association with disease severity in patients with COVID-19. Methods: This cross-sectional study was conducted on patients hospitalized due to COVID-19 with lung involvement. The control group consisted of patients hospitalized with a diagnosis other than COVID-19. The prevalence of IPA was compared between patients with and without COVID-19. Clinical and laboratory findings were compared in patients with and without IPA. Results: A total of 126 participants, with a mean (SD) age of 57.2 (16.4) years, were included in this study. 54.8% of participants were men. There was a significant difference between patients with and without COVID-19 regarding the frequency of IPA ( Conclusion: Our study found a significant association between IPAs and the severity of lung involvement in hospitalized COVID-19 patients and a significant association of COVID-19 with IPAs.

Indexed as

auricular acupunctureauricular causative diagnosisauricular visual markersauriculotherapyCOVID-19interferon pointrespiratory disorderstraditional Chinese medicine

Identifiers

PMID39712526
PMCPMC11659459

What Socratic 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 Socratic graph.