Evidence map›Paper›PMID 32326413›Full record

ArticleJournal of clinical medicine2020

Predicting Stroke Outcomes Using Ankle-Brachial Index and Inter-Ankle Blood Pressure Difference.

Minho Han, Young Dae Kim, Jin Kyo Choi, Junghye Choi, Jimin Ha, Eunjeong Park, Jinkwon Kim, Tae-Jin Song, Ji Hoe Heo, Hyo Suk Nam

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Combination of low ankle-brachial index and high ankle-brachial index difference for mortality prediction.Hypertension research : official journal of the Japanese Society of Hypertension · 2021
    Article
  6. Article
  7. Article
  8. 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

10 authors at 2 institutions in 1 country.

Minho HanDepartment of Neurology, Yonsei University College of Medicine, Seoul 03722, Korea.ORCID 0000-0003-2951-0963
Young Dae KimDepartment of Neurology, Yonsei University College of Medicine, Seoul 03722, Korea.ORCID 0000-0001-5750-2616
Jin Kyo ChoiDepartment of Neurology, Yonsei University College of Medicine, Seoul 03722, Korea.
Junghye ChoiDepartment of Neurology, Yonsei University College of Medicine, Seoul 03722, Korea.
Jimin HaDepartment of Neurology, Yonsei University College of Medicine, Seoul 03722, Korea.
Eunjeong ParkCardiovascular Research Institute, Yonsei University College of Medicine, Seoul 03722, Korea.ORCID 0000-0003-2257-3478
Jinkwon KimDepartment of Neurology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si 16995, Korea.
Tae-Jin SongDepartment of Neurology, Seoul Hospital, Ewha Womans University College of Medicine, Seoul 07804, Korea.
Ji Hoe HeoDepartment of Neurology, Yonsei University College of Medicine, Seoul 03722, Korea.
Hyo Suk NamDepartment of Neurology, Yonsei University College of Medicine, Seoul 03722, Korea.ORCID 0000-0002-4415-3995
Yonsei University · KREwha Womans University · KR

Funding

a faculty research grant of Yonsei University College of Medicine 6-2019-0065, 6-2019-0170National Research Foundation of Korea 2019R1H1A1079907
6 · The paper itself

Abstract

backgroundThis study investigated the association of high ankle-brachial index difference (ABID) and systolic inter-ankle blood pressure difference (IAND) with short- and long-term outcomes in acute ischemic stroke patients without peripheral artery disease (PAD).

methodsConsecutive patients with acute ischemic stroke who underwent ankle-brachial index (ABI) measurement were enrolled. ABID was calculated as |right ABI-left ABI|. IAND and systolic inter-arm blood pressure difference (IAD) were calculated as |right systolic blood pressure - left systolic blood pressure|. Poor functional outcome was defined as modified Rankin Scale score ≥3 at 3 months. Major adverse cardiovascular events (MACEs) were defined as stroke recurrence, myocardial infarction, or death.

resultsA total of 2901 patients were enrolled and followed up for a median of 3.1 (interquartile range, 1.6-4.7) years. Among them, 2643 (84.9%) patients did not have PAD. In the logistic regression analysis, ABID ≥ 0.15 and IAND ≥ 15 mmHg were independently associated with poor functional outcome (odds ratio (OR), 1.970, 95% confidence interval (CI), 1.175‒3.302; OR, 1.665, 95% CI, 1.188‒2.334, respectively). In Cox regression analysis, ABID ≥0.15 and IAND ≥ 15 mmHg were independently associated with MACEs (hazard ratio (HR), 1.514, 95% CI, 1.058‒2.166; HR, 1.343, 95% CI, 1.051‒1.716, respectively) and all-cause mortality (HR, 1.524, 95% CI, 1.039‒2.235; HR, 1.516, 95% CI, 1.164‒1.973, respectively) in patients without PAD.

conclusionHigh ABID and IAND are associated with poor short-term outcomes, long-term MACE occurrence, and all-cause mortality in acute ischemic stroke without PAD.

Indexed as

ankle-brachial index differenceinter-ankle blood pressure differenceoutcomeperipheral artery diseasestroke

Identifiers

PMID32326413
PMCPMC7231112
OpenAlexW3016725494

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.