Evidence map›Paper›PMID 42553066›Full record

ArticleLaryngoscope investigative otolaryngology2026

Inpatient and Postacute Care After Head and Neck Surgery Among Beneficiaries.

Mengda Yu, Joshua Brown, Songzhu Zhao, Nolan B Seim, Catherine T Haring, Stephen Y Kang, Amit Agrawal, Enver Ozer, Matthew O Old, Lauren E Miller

Abstract read
In one paragraph

Article in Laryngoscope investigative otolaryngology, 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

10 authors.

Mengda YuCenter for Biostatistics, Department of Biomedical Informatics, College of Medicine The Ohio State University Columbus Ohio USA.
Joshua BrownDepartment of Otolaryngology - Head and Neck Surgery The Ohio State University Medical Center Columbus Ohio USA.
Songzhu ZhaoCenter for Biostatistics, Department of Biomedical Informatics, College of Medicine The Ohio State University Columbus Ohio USA.
Nolan B SeimDepartment of Otolaryngology - Head and Neck Surgery The Ohio State University Medical Center Columbus Ohio USA.ORCID https://orcid.org/0000-0002-9227-5313
Catherine T HaringDepartment of Otolaryngology - Head and Neck Surgery The Ohio State University Medical Center Columbus Ohio USA.
Stephen Y KangDepartment of Otolaryngology - Head and Neck Surgery The Ohio State University Medical Center Columbus Ohio USA.ORCID https://orcid.org/0000-0002-0865-6149
Amit AgrawalDepartment of Otolaryngology - Head and Neck Surgery The Ohio State University Medical Center Columbus Ohio USA.
Enver OzerDepartment of Otolaryngology - Head and Neck Surgery The Ohio State University Medical Center Columbus Ohio USA.
Matthew O OldDepartment of Otolaryngology - Head and Neck Surgery The Ohio State University Medical Center Columbus Ohio USA.
Lauren E MillerDepartment of Otolaryngology - Head and Neck Surgery The Ohio State University Medical Center Columbus Ohio USA.ORCID https://orcid.org/0000-0002-5458-0544

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Medicare Advantage (MA) enrollment has grown rapidly, yet its implications for resource use in complex head and neck cancer (HNC) surgery remain unclear. Methods: Using 2019-2023 Medicare Provider Analysis and Review data, we identified adults admitted with an HNC diagnosis who underwent a qualifying head and neck surgical procedure. We used 1:1 propensity score matching to balance MA and traditional fee-for-service (FFS) beneficiaries on demographics, comorbidity, region, and admitting diagnosis. Outcomes included index length of stay (LOS) and discharge destination (home, home with home health, skilled nursing facility/rehabilitation, or hospice). Negative binomial and multinomial logistic regression models were used to estimate associations between insurance type and LOS or discharge disposition. Results: The matched cohort included 4618 admissions (2309 MA; 2309 FFS). Mean LOS was similar for MA and FFS patients (7.1 vs. 7.3 days), and discharge destination distributions were not significantly different. MA admissions had lower observed frequencies of selected complex procedure categories, including reconstructive surgery, neck dissection, laryngectomy, and mandibulectomy. In procedure-adjusted sensitivity models, MA enrollment was not associated with LOS (rate ratio 0.99, 95% CI 0.94-1.03) or discharge destination. Conclusions: Among Medicare beneficiaries hospitalized for HNC surgery, short-term inpatient utilization during the index admission was similar for MA and FFS enrollees. MA admissions had lower observed frequencies of selected complex procedure categories; however, this finding should be interpreted as a difference in observed operative mix rather than direct evidence of reduced access. Further studies linking claims to tumor registry and hospital-level data are needed to determine whether these patterns reflect case mix, treatment selection, hospital networks, or access barriers. Level of Evidence: 3.

Indexed as

fee for servicehead and neck cancerlength of stayMedicare Advantagepostacute care

Identifiers

PMID42553066
PMCPMC13433145

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.