Evidence map›Paper›PMID 39816442›Full record

ArticleOTO open

Barriers to Research Faced by High-Income Versus Low- and Middle-Income Country Otolaryngologists and Otolaryngology Residents.

Nader G Zalaquett, Mohamad Al Mir, Rita Maria Jalkh, Sarah Nuss, Akansha Pandey, Rolvix H Patterson, Jad Hosri, Randa Al Barazi

Abstract read
In one paragraph

Article in OTO open. 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

8 authors.

Nader G ZalaquettLebanese Otolaryngology Research and Awareness Group (LORAG) Beirut Lebanon.ORCID 0009-0008-7206-152X
Mohamad Al MirLebanese Otolaryngology Research and Awareness Group (LORAG) Beirut Lebanon.
Rita Maria JalkhLebanese Otolaryngology Research and Awareness Group (LORAG) Beirut Lebanon.
Sarah NussGlobal Otolaryngology-Head and Neck Surgery (OHNS) Initiative Durham North Carolina USA.
Akansha PandeyGlobal Otolaryngology-Head and Neck Surgery (OHNS) Initiative Durham North Carolina USA.
Rolvix H PattersonGlobal Otolaryngology-Head and Neck Surgery (OHNS) Initiative Durham North Carolina USA.
Jad HosriLebanese Otolaryngology Research and Awareness Group (LORAG) Beirut Lebanon.
Randa Al BaraziLebanese Otolaryngology Research and Awareness Group (LORAG) Beirut Lebanon.ORCID 0000-0002-5227-6215

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to compare research productivity and barriers to research between high-income countries (HICs) and low- and middle-income countries (LMICs) otolaryngologists. Study Design: Cross-sectional survey. Setting: International survey. Methods: A survey developed by members of the Lebanese Otolaryngology Research and Awareness Group was disseminated globally to otolaryngologists and otolaryngology residents. The survey assessed research efficiency, funding, and perceived barriers. Data were analyzed using Results: A total of 82 responses from 21 countries were recorded, with 33 from HICs (40.2%) and 49 from LMICs (59.8%). LMIC respondents reported significantly less research funding (84.4% vs 60.6%, Conclusion: Otolaryngologists in LMICs encounter substantial barriers to research productivity compared to those in HICs, primarily due to funding gaps, lack of institutional support, and unfavorable governmental policies. Addressing these disparities is essential for fostering equitable global research contributions.

Indexed as

fundingLMICslow‐income countriespublicationsresearch barriers

Identifiers

PMID39816442
PMCPMC11733464

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.