Evidence map›Paper›PMID 35594257›Full record

SynthesisPloS one2022

The invisible costs of obstructive sleep apnea (OSA): Systematic review and cost-of-illness analysis.

Ludovica Borsoi, Patrizio Armeni, Gleb Donin, Francesco Costa, Luigi Ferini-Strambi

Registry-linked trialOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06606691 (Wearable Technology in the Detection and Evaluation of Sleep-Related Breathing Disorders), which is not on this map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
9.2field-weighted citation impact, top 1% 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.

NCT06606691 completednot on this mapstarted 2025, after this paper: background citation

Wearable Technology in the Detection and Evaluation of Sleep-Related Breathing Disorders

TypeobservationalSponsorUniversidade da CoruñaRan2025 to 2026Enrolled300ConditionsBreathing-Related Sleep Disorder, Sleep Disorder (Disorder)ArmsXiaomi Mi Smart Band 8
3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
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  3. Review
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  6. Review
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  10. Toward developing more effective screening questionnaires for obstructive sleep apnoea: a conceptual model and testing.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Article
  11. Article
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  14. A systematic review of obstructive sleep apnea in Indigenous peoples worldwide.Sleep advances : a journal of the Sleep Research Society · 2026
    Review
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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 at 3 institutions in 2 countries.

Ludovica BorsoiSDA Bocconi School of Management, Centre for Research on Health and Social Care Management (CERGAS), Milan, Italy.ORCID 0000-0001-9478-6451
Patrizio ArmeniSDA Bocconi School of Management, Centre for Research on Health and Social Care Management (CERGAS), Milan, Italy.
Gleb DoninDepartment of Biomedical Technology, Czech Technical University in Prague, Kladno, Czech Republic.ORCID 0000-0003-3786-5932
Francesco CostaSDA Bocconi School of Management, Centre for Research on Health and Social Care Management (CERGAS), Milan, Italy.
Luigi Ferini-StrambiFaculty of Psychology, Vita-Salute San Raffaele University, Milan, Italy.
Bocconi University · ITCzech Technical University in Prague · CZVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObstructive sleep apnea (OSA) is a risk factor for several diseases and is correlated with other non-medical consequences that increase the disease's clinical and economic burden. However, OSA's impact is highly underestimated, also due to substantial diagnosis gaps.

objectiveThis study aims at assessing the economic burden of OSA in the adult population in Italy by performing a cost-of-illness analysis with a societal perspective. In particular, we aimed at estimating the magnitude of the burden caused by conditions for which OSA is a proven risk factor.

methodsA systematic literature review on systematic reviews and meta-analyses, integrated by expert opinion, was performed to identify all clinical and non-clinical conditions significantly influenced by OSA. Using the Population Attributable Fraction methodology, a portion of their prevalence and costs was attributed to OSA. The total economic burden of OSA for the society was estimated by summing the costs of each condition influenced by the disease, the costs due to OSA's diagnosis and treatment and the economic value of quality of life lost due to OSA's undertreatment.

resultsTwenty-six clinical (e.g., diabetes) and non-clinical (e.g., car accidents) conditions were found to be significantly influenced by OSA, contributing to an economic burden ranging from €10.7 to €32.0 billion/year in Italy. The cost of impaired quality of life due to OSA undertreatment is between €2.8 and €9.0 billion/year. These costs are substantially higher than those currently borne to diagnose and treat OSA (€234 million/year).

conclusionsThis study demonstrates that the economic burden due to OSA is substantial, also due to low diagnosis and treatment rates. Providing reliable estimates of the economic impact of OSA at a societal level may increase awareness of the disease burden and help to guide evidence-based policies and prioritisation for healthcare, ultimately ensuring appropriate diagnostic and therapeutic pathways for patients.

Indexed as

Quality of LifeSleep Apnea, ObstructiveAdultCost of IllnessDelivery of Health CareFinancial StressHealth Care CostsHumans

Identifiers

PMID35594257
PMCPMC9122203
OpenAlexW4280490581

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.