Evidence map›Paper›PMID 25808139›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2015

High Uric Acid Levels During Pregnancy Linked to Increased Risk for Future Atherosclerotic-Related Hospitalization.

Talya Wolak, Ilana Shoham-Vardi, Ruslan Sergienko, Eyal Sheiner

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2015. 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
–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.

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.

  1. Article
  2. Article
  3. Review
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.

Talya WolakHypertension Unit, Soroka University Medical Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Ilana Shoham-VardiDepartment of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Ruslan SergienkoDepartment of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Eyal SheinerDepartment of Obstetrics and Gynecology, Soroka University Medical Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to examine the association between uric acid (UA) level during pregnancy and future maternal hospitalization for atherosclerotic-related morbidity. A case-control study was conducted including women who delivered between the years 2000 to 2012 and subsequently developed atherosclerotic morbidity at least 1 year after their last delivery (n=588) and controls (n=3645). The mean follow-up duration was 57.8±35.6 months and 77±43.4 months, respectively. Cox proportional hazards models were used to estimate the adjusted hazard ratios for hospitalizations. A significant linear association was documented between UA during pregnancy and long-term maternal-related atherosclerotic morbidity. A Cox proportional hazard model, controlling for the confounders gestational hypertension, gestational diabetes mellitus, obesity, maternal age, creatinine level, and gestational week at index pregnancy showed that UA ≥5.6 mg/dL during pregnancy remained independently associated with long-term total hospitalization (adjusted hazard ratio, 1.47; 95% confidence interval, 1.16-1.86; P<.001). High UA level during pregnancy may predict maternal atherosclerotic morbidity.

Indexed as

AdultAtherosclerosisCase-Control StudiesFemaleHospitalizationHumansIsraelPregnancyProportional Hazards ModelsRetrospective StudiesUric AcidUric Acid

Identifiers

PMID25808139
PMCPMC8031688

What OpenQuestion holds

Textmetadata
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Registered trials

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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.