Evidence map›Paper›PMID 24866200›Full record

ArticlePloS one2014

Cost of treatment in a US commercially insured, HIV-1-infected population.

Caitlyn T Solem, Sonya J Snedecor, Alexandra Khachatryan, Katherine Nedrow, Margaret Tawadrous, Richard Chambers, Seema Haider, Kit Simpson

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Healthcare Coverage for HIV Provider Visits Before and After Implementation of the Affordable Care Act.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2016
    Article
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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

8 authors.

Caitlyn T SolemPharmerit International, Bethesda, Maryland, United States of America.
Sonya J SnedecorPharmerit International, Bethesda, Maryland, United States of America.
Alexandra KhachatryanPharmerit International, Bethesda, Maryland, United States of America.
Katherine NedrowPfizer Inc, Groton, Connecticut, United States of America.
Margaret TawadrousPfizer Inc, Groton, Connecticut, United States of America.
Richard ChambersPfizer Inc, Collegeville, Philadelphia, United States of America.
Seema HaiderPfizer Inc, Groton, Connecticut, United States of America.
Kit SimpsonMedical University of South Carolina, Charleston, South Carolina, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRecent treatment patterns and cost data associated with HIV in the United States are limited. This study assessed first-line persistence and healthcare costs of HIV-1 in patients by treatment line and CD4 cell count.

methodsMarketScan Commercial Claims and Encounters Database (2007-2011) and Lab Database (2007-2010) were used to construct two HIV-1 cohorts: 1) newly treated HIV-1-infected patients with ≥6 months' continuous enrollment prior to first third-agent drug claim (Newly Treated Cohort) and 2) CD4 cell count test results (CD4 Measurements Cohort). All patients were ≥18 years old and without hepatitis co-infection. The Kaplan-Meier method was used to measure treatment switch rates. Generalized linear models (gamma distribution, log link) were used to compare healthcare costs by treatment line and CD4 cell count controlling for potential confounders.

resultsNewly treated patients (n = 8,617) had mean age of 41, 82% were male, and 20% had experienced AIDS-defining events at baseline. Over 20% of newly treated patients switched initial treatment regimen within 2 years. Average unadjusted (and covariate-adjusted) total healthcare cost/year was $33,674 ($28,861) for first-line, $39,191 ($35,805) for second-line, and $39,882 ($40,804) for third-line treatment. Covariate-adjusted costs of care on second- and third-line treatments were significantly more expensive than first-line treatment (24% [p<0.001] and 41% [p = 0.006] higher, respectively). The CD4 Measurements Cohort included 803 CD4 measurements (mean age 49, 76% male, 8% experienced an AIDS-defining event). Costs associated with CD4 measurements <100 cells/µL were 92% higher than those with >350 cells/µL (p<0.001). For higher CD4 cell counts, the majority of expenditures were for antiretrovirals (64% of total for CD4 >350 cells/µL).

conclusionsDespite modern advances in antiretroviral therapy and medical care, direct medical costs of HIV-1-infected patients increase after treatment switch and with lower CD4 counts, consistent with previous costing studies.

Indexed as

Cost-Benefit AnalysisHealth Care CostsInsurance, HealthAdolescentAdultAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountCoinfectionFemaleFollow-Up StudiesHIV-1HIV InfectionsHumansMaleMiddle AgedPrognosis

Identifiers

PMID24866200
PMCPMC4035292

What OpenQuestion holds

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LicenceCC BY
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.