Evidence map›Paper›PMID 29795604›Full record

Observational studyPloS one2018

Survival outcomes post percutaneous coronary intervention: Why the hype about stent type? Lessons from a healthcare system in India.

Bhanu Duggal, Jyothi Subramanian, Mona Duggal, Pushpendra Singh, Meeta Rajivlochan, Sujata Saunik, Koundinya Desiraju, Archana Avhad, Usha Ram, Sayan Sen and 1 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

11 authors at 7 institutions in 2 countries.

Bhanu DuggalDepartment of Cardiology, AIIMS, Rishikesh, India.ORCID 0000-0003-0182-0740
Jyothi SubramanianDepartment of Health and Family Welfare, Government of Maharashtra, Mumbai, India.
Mona DuggalDepartment of Community Medicine, PGIMER, Chandigarh, India.
Pushpendra SinghIndraprastha Institute of Information Technology, New Delhi, India.
Meeta RajivlochanDepartment of Health and Family Welfare, Government of Maharashtra, Mumbai, India.
Sujata SaunikDepartment of Health and Family Welfare, Government of Maharashtra, Mumbai, India.
Koundinya DesirajuInstitute of Genomics and Integrative Biology, New Delhi, India.
Archana AvhadDepartment of Health and Family Welfare, Government of Maharashtra, Mumbai, India.
Usha RamInternational Institute of Population Sciences, Mumbai, India.
Sayan SenDepartment of Cardiology, Hammersmith Hospital, London, United Kingdom.
Anurag AgrawalInstitute of Genomics and Integrative Biology, New Delhi, India.
Government of Maharashtra · INInstitute of Genomics and Integrative Biology · INAll India Institute of Medical Sciences Raipur · INHammersmith Hospital · GBIndraprastha Institute of Information Technology Delhi · INInternational Institute for Population Sciences · INPost Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A prospective, multicenter study was initiated by the Government of Maharashtra, India, to determine predictors of long-term outcomes of percutaneous coronary intervention (PCI) for coronary artery disease, and to compare the effectiveness of drug-eluting stents (DESs) and bare-metal stents (BMSs) in patients undergoing PCI under government-funded insurance. The present analysis included 4595 patients managed between August 2012 and November 2016 at any of 110 participating centers. Using the classical multivariable regression and propensity-matching approach, we found age to be the most important predictor of 1-year mortality and target lesion revascularization at 1 year post-PCI. However, using machine learning methods to account for unmeasured confounders and bias in this large observational study, we determined total stent length and number of stents deployed as the most important predictors of 1-year survival, followed by age and employment status. The unadjusted death rates were 5.0% and 3.8% for the BMS and DES groups, respectively (p = 0.185, log-rank test). The rate of re-hospitalization (p<0.001) and recurrence of unstable angina (p = 0.08) was significantly lower for DESs than for BMSs. Increased use of DES after 2015 (following establishment of a price cap on DESs) was associated with a sharp decrease in adjusted hazard ratios of DESs versus BMSs (from 0.94 in 2013 to 0.58 in 2016), suggesting that high price was limiting DES use in some high-risk patients. Since stented length and stent number were the most important predictors of survival outcomes, adopting an ischemia-guided revascularization strategy is expected to help improve outcomes and reduce procedural costs. In the elderly, PCI should be reserved for cases where the benefits outweigh the higher risk of the procedure. As unemployed patients had poorer long-term outcomes, we expect that implementation of a post-PCI cardiovascular rehabilitation program may improve long-term outcomes.

Indexed as

Coronary Artery DiseaseDelivery of Health CareDrug-Eluting StentsFemaleHumansIndiaMaleMiddle AgedMyocardial InfarctionPercutaneous Coronary InterventionProportional Hazards ModelsProspective StudiesRisk FactorsStentsTreatment Outcome

Identifiers

PMID29795604
PMCPMC5967815
OpenAlexW2804755781

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.