Evidence map›Paper›PMID 40876599›Full record

ArticleOphthalmology2026

Utilization Patterns and Costs of Ocular Amniotic Membrane Grafts in the Medicare Population.

Daniel G Vail, Eric Nudleman, Luay Abdeljaber, Md Enamul Haque, Suzann Pershing

Abstract read
In one paragraph

Article in Ophthalmology, 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

5 authors.

Daniel G VailViterbi Family Department of Ophthalmology, Shiley Eye Institute, University of California, San Diego, La Jolla, California; Byers Eye Institute, Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, California. Electronic address: dvail@ucsd.edu.
Eric NudlemanViterbi Family Department of Ophthalmology, Shiley Eye Institute, University of California, San Diego, La Jolla, California.
Luay AbdeljaberByers Eye Institute, Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, California.
Md Enamul HaqueByers Eye Institute, Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, California.
Suzann PershingByers Eye Institute, Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, California; VA Palo Alto Health Care System, Palo Alto, California.

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Stanford Vision Research CoreP30EY026877 · NEI · STANFORD UNIVERSITY · PI Jeffrey L Goldberg · 2017 to 2026
$8.0M
Using Informatics to Evaluate and Predict Cataract Surgery Impact on Alzheimer's Disease and Related Dementias and Mild Cognitive Impairment OutcomesR01AG072582 · NIA · STANFORD UNIVERSITY · PI Suzann Pershing · 2022 to 2026
$3.8M
NCATS NIH HHS UL1 TR003142NEI NIH HHS P30 EY026877NIA NIH HHS R01 AG072582
6 · The paper itself

Abstract

purposeRecent investigations from the Office of the Inspector General and The New York Times have raised concerns about the costs to Medicare of skin substitutes, documenting pervasive fraudulent billing practices outside of ophthalmology. These investigations have not covered the use of tissue in eye care, despite similar reimbursement incentives for the use of sutureless ocular amniotic membrane grafts (AMGs). We examine the volume, cost, and clinical indications associated with sutureless AMGs in eye care.

designRetrospective cohort study of fee-for-service Medicare patients who received sutureless AMGs and eye care providers who bill for sutureless AMGs.

participantsNationally representative 20% sample of Medicare Part B claims for sutureless AMGs between 2011 and 2020.

methodsWe use longitudinal patient-level and provider-level data to specify regression models for our primary outcomes. We estimate Cox proportional hazards survival models for time-to-event analyses and logistic regression models for binary outcomes.

main outcome measuresClinical indications for AMG use, time from patients' first encounter with a provider to their first AMG, use of AMGs for dry eye, and costs to Medicare.

resultsDry eye accounted for 44% of all sutureless AMG use in 2020, increased from 7% in 2011. Charges for ocular sutureless AMGs increased from $3.5 million in 2011 to $95.6 million in 2020; charges for AMGs used to treat dry eye increased from $250 000 to $41.4 million over this period. Some 28% of all claims for AMGS were submitted by 1% of providers. Patients are more likely to receive an AMG when seen by an optometrist (hazard ratio, 1.16; P < 0.001). The annual costs to Medicare for a patient with dry eye have increased dramatically among providers who use AMGs.

conclusionsThe costs to Medicare for skin substitutes are inflated by reimbursement models that encourage their use even when there is little clinical indication. These concerns may be applicable to eye care as well, where spending on amniotic membrane grafts has increased dramatically, particularly for indications where clinical benefit may be limited. By requiring AMG manufacturers to report accurate sales prices, policymakers could reduce costs without limiting coverage of AMGs for appropriate clinical indications. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.

Indexed as

AmnionBiological DressingsDry Eye SyndromesHealth Care CostsMedicare Part BAgedAged, 80 and overFee-for-Service PlansFemaleHumansMaleMedicareRetrospective StudiesUnited StatesAmniotic membrane graftCMS spendingDry eyeHealth care spendingMedicareReimbursement policySkin substitutes

Identifiers

PMID40876599
PMCPMC13387592

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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.