Evidence map›Paper›PMID 38438777›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2024

Systemic Inflammation Response Index and Systemic Immune-inflammation Index for Prediction of Pregnancy Loss: a Case-control Study.

Zahid Agaoglu, Atakan Tanacan, Goksun Ipek, Ayca Peker, Merve Ozturk Agaoglu, Dilek Sahin

Abstract read
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In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Zahid AgaogluDepartment of Obstetrics and Gynecology, Turkish Ministry of Health Ankara City Hospital, Universiteler Mahallesi Cad, Cankaya, Ankara, 06800, Turkey. zahidagaoglu04@hotmail.com.ORCID 0000-0001-8726-1075
Atakan TanacanDepartment of Obstetrics and Gynecology, Turkish Ministry of Health, Ankara City Hospital, University of Health Sciences, Ankara, Turkey.
Goksun IpekDepartment of Obstetrics and Gynecology, Turkish Ministry of Health Ankara City Hospital, Universiteler Mahallesi Cad, Cankaya, Ankara, 06800, Turkey.
Ayca PekerDepartment of Obstetrics and Gynecology, Turkish Ministry of Health Ankara City Hospital, Universiteler Mahallesi Cad, Cankaya, Ankara, 06800, Turkey.
Merve Ozturk AgaogluDepartment of Obstetrics and Gynecology, Turkish Ministry of Health Ankara City Hospital, Universiteler Mahallesi Cad, Cankaya, Ankara, 06800, Turkey.
Dilek SahinDepartment of Obstetrics and Gynecology, Turkish Ministry of Health, Ankara City Hospital, University of Health Sciences, Ankara, Turkey.
Ministry of Health · TRÇankaya University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The systemic inflammation response index (SIRI) and systemic immune inflammation index (SII) have recently been investigated as new prognostic markers for obstetric morbidities. However, there are few studies on their predictive role in patients with pregnancy loss. Predicting miscarriages may be useful to support and prevent selected cases.The aim of this study was to investigate the role of SIRI and SII in the prediction of pregnancy loss. A total of 800 patients were included in the retrospective case-control study at a tertiary hospital.Group 1 consisted of 200 patients who had a pregnancy loss for the first time; group 2 consisted of 200 patients with recurrent pregnancy loss; the control group consisted of 400 patients who had a healthy pregnancy. The groups were compared in terms of maternal characteristics, SIRI and SII. Receiver operating characteristic analysis was performed to determine optimal cut-off values for SIRI and SII in predicting pregnancy loss. SIRI and SII were higher in the group with recurrent pregnancy loss than in the control group (p < 0.001).SIRI was higher in the first pregnancy loss group than in the control group (p < 0.001).To predict recurrent pregnancy loss, optimal cut-off values were 1.57 (80% sensitivity, 70% specificity) and 924.12 (74% sensitivity, 57% specificity) for SIRI and SII, respectively. For first pregnancy loss prediction, the optimal cut-off value was 1.38 for SIRI, with 75% sensitivity and 60% specificity. SIRI and SII may be used as inflammatory markers to predict recurrent pregnancy loss. High SIRI values can also help to predict first pregnancy loss.

Indexed as

InflammationAbortion, HabitualAbortion, SpontaneousAdultBiomarkersCase-Control StudiesFemaleHumansPredictive Value of TestsPregnancyPrognosisRetrospective StudiesROC CurveBiomarkersPregnancy lossSystemic immune-inflammation indexSystemic inflammation response index

Identifiers

PMID38438777
OpenAlexW4392383434

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.