Evidence map›Paper›PMID 28060868›Full record

ArticlePloS one2017

Non-Communicable Disease Preventive Screening by HIV Care Model.

Corinne M Rhodes, Yuchiao Chang, Susan Regan, Virginia A Triant

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% 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.

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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Multimorbidity Among Persons Living with Human Immunodeficiency Virus in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Article
  8. Immediate Antiretroviral Therapy Decreases Mortality Among Patients With High CD4 Counts in China: A Nationwide, Retrospective Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Observational
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

4 authors at 3 institutions in 1 country.

Corinne M RhodesDivision of General Internal Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America.
Yuchiao ChangDivision of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Susan ReganDivision of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Virginia A TriantDivision of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Massachusetts General Hospital · USHarvard University · USUniversity of Pennsylvania · US

Funding

Evaluation and development of cardiovascular risk prediction algorithms in HIVR56HL125029 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI TRIANT, VIRGINIA ATHENA · 2014 to 2014
$821k
Incidence and Predictors of Myocardial Infarction Among HIV-Infected PatientsK01AI073109 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI TRIANT, VIRGINIA ATHENA · 2008 to 2012
$687k
Statin Use and Efficacy Among HIV-Infected Patients by Cholesterol Risk CategoryR21HL122138 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI TRIANT, VIRGINIA ATHENA · 2014 to 2015
$259k
NHLBI NIH HHS R21 HL122138NHLBI NIH HHS R56 HL125029NIAID NIH HHS K01 AI073109
6 · The paper itself

Abstract

importanceThe Human Immunodeficiency Virus (HIV) epidemic has evolved, with an increasing non-communicable disease (NCD) burden emerging and need for long-term management, yet there are limited data to help delineate the optimal care model to screen for NCDs for this patient population.

objectiveThe primary aim was to compare rates of NCD preventive screening in persons living with HIV/AIDS (PLWHA) by type of HIV care model, focusing on metabolic/cardiovascular disease (CVD) and cancer screening. We hypothesized that primary care models that included generalists would have higher preventive screening rates.

designProspective observational cohort study.

settingPartners HealthCare System (PHS) encompassing Brigham & Women's Hospital, Massachusetts General Hospital, and affiliated community health centers.

participantsPLWHA age >18 engaged in active primary care at PHS. EXPOSURE: HIV care model categorized as infectious disease (ID) providers only, generalist providers only, or ID plus generalist providers. MAIN OUTCOME(S) AND MEASURES(S): Odds of screening for metabolic/CVD outcomes including hypertension (HTN), obesity, hyperlipidemia (HL), and diabetes (DM) and cancer including colorectal cancer (CRC), cervical cancer, and breast cancer.

resultsIn a cohort of 1565 PLWHA, distribution by HIV care model was 875 ID (56%), 90 generalists (6%), and 600 ID plus generalists (38%). Patients in the generalist group had lower odds of viral suppression but similar CD4 counts and ART exposure as compared with ID and ID plus generalist groups. In analyses adjusting for sociodemographic and clinical covariates and clustering within provider, there were no significant differences in metabolic/CVD or cancer screening rates among the three HIV care models.

conclusionsThere were no notable differences in metabolic/CVD or cancer screening rates by HIV care model after adjusting for sociodemographic and clinical factors. These findings suggest that HIV patients receive similar preventive health care for NCDs independent of HIV care model.

Indexed as

Acquired Immunodeficiency SyndromeAdultBreast NeoplasmsCardiovascular DiseasesColorectal NeoplasmsCommunicable DiseasesDiabetes MellitusFemaleHIVHIV InfectionsHumansHyperlipidemiasHypertensionMaleMass ScreeningMiddle Aged

Identifiers

PMID28060868
PMCPMC5218477
OpenAlexW2571208320

What OpenQuestion holds

Textmetadata
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.