Observational studyCirculation. Cardiovascular quality and outcomes2019

Baseline Predictors of Low-Density Lipoprotein Cholesterol and Systolic Blood Pressure Goal Attainment After 1 Year in the ISCHEMIA Trial.

Jonathan D Newman, Karen P Alexander, Xiangqiong Gu, Sean M O'Brien, William E Boden, Sajeev C Govindan, Roxy Senior, Nagaraja Moorthy, Paulo C Rezende, Marcin Demkow and 10 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Circulation. Cardiovascular quality and outcomes, 2019. The graph read 5 numbers from its abstract, feeding 1 cell of the map, but none could be read as for or against, so it casts no vote. Cited by 18 papers.

5numbers the graph read from it
0cells of the map it votes in
18citing 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.

Read, but not usablea number the graph found but could not read as for or against

Lipidscomparator not stated · hypertension, dyslipidemiafeeds one cell of the map
OR 1.111.03 to 1.20
Adjusted odds of 1-year LDL-C goal attainment were greater with older age (odds ratio [OR], 1.11 [95% CI, 1.03-1.20] per 10 years), lower baseline LDL-C (OR, 1.19 [95% CI, 1.17-1.22] per 10 mg/dL), high-intensity statin use (OR, 1.30 [95% CI, 1.12-1.51]), nonwhite race (OR, 1.32 [95% CI, 1.07-1.63]), and North American enrollment compared with other regions (OR, 1.32 [95% CI, 1.06-1.66]).
Lipidscomparator not stated · hypertension, dyslipidemiafeeds one cell of the map
OR 1.191.17 to 1.22
Adjusted odds of 1-year LDL-C goal attainment were greater with older age (odds ratio [OR], 1.11 [95% CI, 1.03-1.20] per 10 years), lower baseline LDL-C (OR, 1.19 [95% CI, 1.17-1.22] per 10 mg/dL), high-intensity statin use (OR, 1.30 [95% CI, 1.12-1.51]), nonwhite race (OR, 1.32 [95% CI, 1.07-1.63]), and North American enrollment compared with other regions (OR, 1.32 [95% CI, 1.06-1.66]).
Lipidscomparator not stated · hypertension, dyslipidemiafeeds one cell of the map
OR 1.301.12 to 1.51
Adjusted odds of 1-year LDL-C goal attainment were greater with older age (odds ratio [OR], 1.11 [95% CI, 1.03-1.20] per 10 years), lower baseline LDL-C (OR, 1.19 [95% CI, 1.17-1.22] per 10 mg/dL), high-intensity statin use (OR, 1.30 [95% CI, 1.12-1.51]), nonwhite race (OR, 1.32 [95% CI, 1.07-1.63]), and North American enrollment compared with other regions (OR, 1.32 [95% CI, 1.06-1.66]).
Lipidscomparator not stated · hypertension, dyslipidemiafeeds one cell of the map
OR 1.321.07 to 1.63
Adjusted odds of 1-year LDL-C goal attainment were greater with older age (odds ratio [OR], 1.11 [95% CI, 1.03-1.20] per 10 years), lower baseline LDL-C (OR, 1.19 [95% CI, 1.17-1.22] per 10 mg/dL), high-intensity statin use (OR, 1.30 [95% CI, 1.12-1.51]), nonwhite race (OR, 1.32 [95% CI, 1.07-1.63]), and North American enrollment compared with other regions (OR, 1.32 [95% CI, 1.06-1.66]).
Lipidscomparator not stated · hypertension, dyslipidemiafeeds one cell of the map
OR 1.321.06 to 1.66
Adjusted odds of 1-year LDL-C goal attainment were greater with older age (odds ratio [OR], 1.11 [95% CI, 1.03-1.20] per 10 years), lower baseline LDL-C (OR, 1.19 [95% CI, 1.17-1.22] per 10 mg/dL), high-intensity statin use (OR, 1.30 [95% CI, 1.12-1.51]), nonwhite race (OR, 1.32 [95% CI, 1.07-1.63]), and North American enrollment compared with other regions (OR, 1.32 [95% CI, 1.06-1.66]).

clause the extractor read what became the number

2 · Its place on the map

Where it lands on the map

Rows are treatments, columns are outcomes. The coloured squares are the cells this paper feeds, coloured by the vote it casts there. Click one to jump to what this paper adds to it.

supports the treatmentfavours the comparatorno clear differenceread, but no usable result
3 · What it changes

What it adds to each cell

For every cell the paper feeds: the belief in the claim with and without this paper, and this paper's estimate drawn against every other readable study in the cell. The ringed dot is this paper.

Statins×lipids

No readable resultOpen on the map →What to test next →

38 readable studies in this cell: 26 favour the treatment, 5 find no difference, 7 favour the comparator.

Belief with this paper
0.50contested · 21 families support, 7 contradict · against placebo
Without itNot a counted family in this claim, so removing it changes nothing.
← favours the treatmentfavours the comparator →
0 · no effect
NCT002899002,340 enrolled · 2006
Δ -13.2-16.8 to -9.60
reduced -66.0-73.0 to -58.0
NCT02546323543 enrolled · 2015
Δ -35.5-40.2 to -30.7
NCT01678820299 enrolled · 2012
Δ 0.50-4.80 to 5.80
NCT01218204287 enrolled · 2010
Δ 5.47-15.7 to 26.7
NCT0093525931 enrolled · 2009
Δ -51.7
reductions -33.6-38.8 to -28.4

This paper's own estimate is on a different scale from the rest of the cell, so it is not drawn here.

4 · 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.

5 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Guideline-Directed Medical Therapy and Outcomes in the ISCHEMIA Trial.Journal of the American College of Cardiology · 2025
    Trial
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Achieving Optimal Medical Therapy: Insights From the ORBITA Trial.Journal of the American Heart Association · 2021
    Trial
  8. Advances in targeting LDL cholesterol: PCSK9 inhibitors and beyond.American journal of preventive cardiology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Lipid-lowering therapy and percutaneous coronary interventions.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2021
    Review
  16. Review
  17. Article
  18. Global & regional health technology assessment
    Review
6 · The record

Corrections and comments

7 · Who and what money

Authors and funding

20 authors.

Jonathan D NewmanNew York University School of Medicine (J.D.N., J.S.H.).
Karen P AlexanderDuke Clinical Research Institute, Durham, NC (K.P.A., X.G., S.M.O.).
Xiangqiong GuDuke Clinical Research Institute, Durham, NC (K.P.A., X.G., S.M.O.).
Sean M O'BrienDuke Clinical Research Institute, Durham, NC (K.P.A., X.G., S.M.O.).
William E BodenVA New England Healthcare System, Boston, MA (W.E.B.).
Sajeev C GovindanGovernment Medical College, Kerala, India (S.C.G.).
Roxy SeniorNorthwick Park Hospital-Royal Brompton Hospital, London, United Kingdom (R.S.).
Nagaraja MoorthySri Jayadeva Institute of Cardiovascular Sciences and Research, Bangalore, Karnataka, India (N.M.).
Paulo C RezendeHeart Instituto do Coracao, University of Sao Paulo, Brazil (P.C.R.).
Marcin DemkowCoronary and Structural Heart Diseases Department, Institute of Cardiology, Warsaw, Poland (M.D.).
Jose Luis Lopez-SendonHospital Universitario La Paz, Idipaz, Madrid, Spain (J.L.L.-S.).
Olga BockeriaNational Research Center for Cardiovascular Surgery, Moscow, Russia (O.B.).
Neeraj PanditRam Manohar Lohia Hospital, Delhi, India (N.P.).
Gilbert GosselinMontreal Heart Institute, QC, Canada (G.G.).
Peter H StoneBrigham and Women's Hospital, MA (P.H.S.).
John A SpertusSaint Luke's Mid America Heart Institute/UMKC, MO (J.A.S.).
Gregg W StoneColumbia University Medical Center and the Cardiovascular Research Foundation, NY (J.W.S.).
Jerome L FlegNational Institute of Health, NHLBI, MD (J.L.F.).
Judith S HochmanNew York University School of Medicine (J.D.N., J.S.H.).
David J MaronStanford University School of Medicine, CA (D.J.M.).

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
The Ischemia Trial - CCCU01HL105907 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HOCHMAN, JUDITH S · 2011 to 2019
$100.1M
The ISCHEMIA Trial - SDCCU01HL105462 · NHLBI · DUKE UNIVERSITY · PI ALEXANDER, KAREN P, O'BRIEN, SEAN M · 2011 to 2019
$17.8M
THE ISCHEMIA TRIAL - IICCU01HL105561 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SHAW, LESLEE J · 2011 to 2018
$6.5M
The ISCHEMIA Trial - EQOLU01HL105565 · NHLBI · DUKE UNIVERSITY · PI MARK, DANIEL B · 2011 to 2017
$2.4M
Arsenic Exposure, Diabetes and AtherosclerosisK23HL125991 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI NEWMAN, JONATHAN D · 2016 to 2020
$868k
NCATS NIH HHS UL1 TR001445NHLBI NIH HHS K23 HL125991NHLBI NIH HHS U01 HL105462NHLBI NIH HHS U01 HL105561NHLBI NIH HHS U01 HL105565NHLBI NIH HHS U01 HL105907
8 · The paper itself

Abstract

The marked sentences are the ones the graph read a number from.

backgroundRisk factor control is the cornerstone of managing stable ischemic heart disease but is often not achieved. Predictors of risk factor control in a randomized clinical trial have not been described. METHODS AND

resultsThe ISCHEMIA trial (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches) randomized individuals with at least moderate inducible ischemia and obstructive coronary artery disease to an initial invasive or conservative strategy in addition to optimal medical therapy. The primary aim of this analysis was to determine predictors of meeting trial goals for LDL-C (low-density lipoprotein cholesterol, goal <70 mg/dL) or systolic blood pressure (SBP, goal <140 mm Hg) at 1 year post-randomization. We included all randomized participants in the ISCHEMIA trial with baseline and 1-year LDL-C and SBP values by January 28, 2019. Among the 3984 ISCHEMIA participants (78% of 5179 randomized) with available data, 35% were at goal for LDL-C, and 65% were at goal for SBP at baseline. At 1 year, the percent at goal increased to 52% for LDL-C and 75% for SBP. Adjusted odds of 1-year LDL-C goal attainment were greater with older age (odds ratio [OR], 1.11 [95% CI, 1.03-1.20] per 10 years), lower baseline LDL-C (OR, 1.19 [95% CI, 1.17-1.22] per 10 mg/dL), high-intensity statin use (OR, 1.30 [95% CI, 1.12-1.51]), nonwhite race (OR, 1.32 [95% CI, 1.07-1.63]), and North American enrollment compared with other regions (OR, 1.32 [95% CI, 1.06-1.66]). Women were less likely than men to achieve 1-year LDL-C goal (OR, 0.68 [95% CI, 0.58-0.80]). Adjusted odds of 1-year SBP goal attainment were greater with lower baseline SBP (OR, 1.27 [95% CI, 1.22-1.33] per 10 mm Hg) and with North American enrollment (OR, 1.35 [95% CI, 1.04-1.76]).

conclusionsIn ISCHEMIA, older age, male sex, high-intensity statin use, lower baseline LDL-C, and North American location predicted 1-year LDL-C goal attainment, whereas lower baseline SBP and North American location predicted 1-year SBP goal attainment. Future studies should examine the effects of sex disparities, international practice patterns, and provider behavior on risk factor control.

Indexed as

AgedAge FactorsAntihypertensive AgentsBiomarkersBlood PressureCholesterol, LDLClinical ProtocolsCoronary Artery DiseaseDyslipidemiasFemaleHealthcare DisparitiesHealth Status DisparitiesHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypertensionMaleAntihypertensive AgentsBiomarkersCholesterol, LDLHydroxymethylglutaryl-CoA Reductase Inhibitorsblood pressurecardiovascular diseasegoalsheart diseaserisk factor

Identifiers

PMID31718297
PMCPMC7157834

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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.