Evidence map›Paper›PMID 37831735›Full record

ArticleBioinformation2023

Efficacy of mucolytics and steam therapy in the management of sinusitis among Indians

Rajalakshmi S Balakrishnan, Subhashree Rohinikumar, Abhinav Rajendra Prabhu, Vishnu Priya Veeraraghavan, Thiyaneswaran Nesappan, Rajalakshmanan Easwaramoorthy

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformation, 2023. 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, top 65% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 1 institution in 1 country.

Rajalakshmi S BalakrishnanDepartment of Implantology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Science, Chennai- 600077, India.
Subhashree RohinikumarDepartment of Implantology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Science, Chennai- 600077, India.
Abhinav Rajendra PrabhuDepartment of Implantology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Science, Chennai- 600077, India.
Vishnu Priya VeeraraghavanDepartment of Biomaterials, Centre of Molecular Medicine and Diagnostics (COMManD), Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Medical and Technical Sciences, Saveetha University, Chennai 600077, India.
Thiyaneswaran NesappanDepartment of Implantology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Science, Chennai- 600077, India.
Rajalakshmanan EaswaramoorthyDepartment of Biomaterials, Centre of Molecular Medicine and Diagnostics (COMManD), Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Medical and Technical Sciences, Saveetha University, Chennai 600077, India.
Saveetha University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is of interest to compare the treatment modalities of sinus membrane thickening, by analyzing the difference in pre and post-intervention radiographic measurement of sinus membrane thickness. Results showed that combination therapy of steam and mucolytics decreased the sinus thickening in a statistically significant manner compared to mucolytics alone. Thus, there is a correlation between maxillary sinus membrane thickening and patency of maxillary ostium radiographically.

Indexed as

maxillary ostiummucolyticsSinus membrane thickeningsteam therapy

Identifiers

PMID37831735
PMCPMC10563563
OpenAlexW4387636933

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.