Evidence map›Paper›PMID 33447775›Full record

ArticleInternational Journal of Cardiology. Hypertension2020

Use of advanced statistical techniques to predict all-cause mortality in the Systolic Blood Pressure Intervention Trial.

William J Kostis, Javier Cabrera, Chun Pang Lin, John B Kostis, Jennifer Wellings, Stavros Zinonos, Jeanne M Dobrzynski, Daniel Blickstein

Open access · goldAbstract read
In one paragraph

Article in International Journal of Cardiology. Hypertension, 2020. 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, top 82% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

8 authors at 2 institutions in 1 country.

William J KostisCardiovascular Institute, Rutgers Robert Wood Johnson Medical School, New Brunswick, 08901, NJ, USA.
Javier CabreraDepartment of Statistics, Rutgers University, Piscataway, 08854, NJ, USA.
Chun Pang LinCardiovascular Institute, Rutgers Robert Wood Johnson Medical School, New Brunswick, 08901, NJ, USA.
John B KostisCardiovascular Institute, Rutgers Robert Wood Johnson Medical School, New Brunswick, 08901, NJ, USA.
Jennifer WellingsMedicine, Thomas Jefferson University, Philadelphia, 19107, PA, USA.
Stavros ZinonosCardiovascular Institute, Rutgers Robert Wood Johnson Medical School, New Brunswick, 08901, NJ, USA.
Jeanne M DobrzynskiCardiovascular Institute, Rutgers Robert Wood Johnson Medical School, New Brunswick, 08901, NJ, USA.
Daniel BlicksteinCardiovascular Institute, Rutgers Robert Wood Johnson Medical School, New Brunswick, 08901, NJ, USA.
Rutgers, The State University of New Jersey · USThomas Jefferson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Systolic Blood Pressure Intervention Trial (SPRINT) was conducted in patients with hypertension and additional risk for cardiovascular disease who were randomized to the intensive blood pressure group targeting systolic blood pressure (SBP) less than 120 mm Hg and to the standard group where the target was less than 140 mm Hg. Analyses were done in the matched group of participants with the same gender, same age (±2 years) and same SBP (±3 mm Hg) at three months of treatment regardless of initial randomization to intensive or standard group (shaded area in Figure 1). METHODS AND

resultsDuring 3.26 years of follow-up, intensive group participants had 14.8 mm Hg lower SBP and received on average one more (2.8 vs. 1.8) blood pressure lowering medications. This was associated with lower all-cause mortality in the intensive treatment group (hazard ratio, 0.73; 95% CI, 0.60 to 0.90, p = 0.003). The effect on SBP was achieved at 3 months and remained unchanged thereafter. This paper addresses two questions with respect to all-cause mortality in SPRINT in the matched set. 1) What is the effect of receiving more than one drug on all-cause mortality. Conditional logistic regression for all-cause mortality with respect to number of drugs indicated that during the 3.26 years of follow-up persons who received more than one drug were more likely to die (coefficient = 0.5039, OR = 1.6552, p = 0.0322) than patients who received one drug. 2) Was there a U curve relationship between on treatment SBP and all-cause mortality? A U curve fitting a quadratic equation (parabola) of SBP and all-cause death was observed. This was seen in the patients randomized to the standard target group in unadjusted analyses as well as in analyses adjusted for demographics or all covariates (p < 0.001 for all). The U curves in the combined group and the intensive treatment group were less pronounced.

conclusionSPRINT participants who were matched for gender, age, and SBP at 3 months, and received more than one drug had higher all-cause mortality during the 3.26 years of follow-up. Those who were randomized to standard treatment target had a U curve relationship between SBP at three months and all-cause mortality. The U curves in the combined group and the intensive treatment group were less pronounced.

Indexed as

HypertensionMortalitySPRINTU curves

Identifiers

PMID33447775
PMCPMC7803049
OpenAlexW3087241821

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.