Evidence map›Paper›PMID 26962519›Full record

ArticleAdvanced biomedical research2016

Comparison of CRP and ALK-P serum levels in prediction of preterm delivery.

Zahra Shahshahan, Hoda Iravani

Open access · goldAbstract read
In one paragraph

Article in Advanced biomedical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Observational
  2. Managing inflammatory bowel disease in pregnancy: current perspectives.Clinical and experimental gastroenterology · 2016
    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

2 authors at 1 institution in 1 country.

Zahra ShahshahanDepartment of Obstetrics and Gynecology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Hoda IravaniDepartment of Obstetrics and Gynecology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreterm birth, defined as birth occurring before 37 weeks of gestation, is a common complication of pregnancy and may lead to death or long-term disability in newborns. Accurate diagnosis is, therefore, crucial for identifying those women undergoing preterm labor who are at greatest risk of preterm delivery. This may allow transport to a regional obstetrical center and permit time for corticosteroid therapy. Recent study recommends several markers such as CRP (C-reactive protein) and ALK-P (alkaline phosphatase) to predict preterm delivery. MATERIALS AND

methodsWe select a total of 300 pregnant women that had symptoms of premature birth. All of them were under treatment with tocolytic and serum sample were taken to assess the level of CRP-ALKp. Cervix length and the time of response to tocolytic were measured. 110 pregnant of them had preterm labor. 110 patient that had a term labor selected as a control group.

resultsQualitative evaluation of efficacy CRP level on preterm delivery showed a significant relationship with 27 as a cut of point of CRP (P < 0.00001 -OR = 7.5). Investigate of effect of ALK-P level on preterm delivery refers to a significant relationship with 399 as a cut of point of ALKP (P < 0.00001 -OR = 5). Inquire of efficacy of CRP level and ALK-P level on preterm delivery demonstrate a significant relationship (P < 0.0001 1OR = 9).

conclusionsMaternal concentrations of CRP and ALKP and cervix length can be used as appropriate biomarker for predicting preterm labor and response to tocolytic therapy in pregnant women.

Indexed as

ALK-Pcervix lengthC-reactive proteinIranpreterm labor

Identifiers

PMID26962519
PMCPMC4770597
OpenAlexW2263599532

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LicenceCC BY-NC-SA
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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.