Evidence map›Paper›PMID 40184137›Full record

Observational studyMedicine2025

Early hematological indices as a predictor of placenta accreta in women with high suspicion of accreta.

Ali Mohammed Ali Al-Nuaimi, Zahraa Mohammed Ali Al-Nuaimi

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2025. 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
–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

2 citing papers in PubMed.

  1. Hematologic markers and machine learning in predicting placenta accreta: A case-control study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article
  2. 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

2 authors.

Ali Mohammed Ali Al-NuaimiCollege of Pharmacy, Gilgamesh University, Baghdad, Iraq.ORCID 0000-0001-5185-1049
Zahraa Mohammed Ali Al-NuaimiDepartment of Gynecology and Obstetrics, Al-Yarmouk Teaching Hospital, Baghdad, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a lack of early biomarkers to predict the placenta accreta spectrum; thus, searching for available and easily obtained markers such as hematological indices is an attractive option. The current study is a diagnostic accuracy study included 198 women; all women underwent an assessment of their hematological indices during their first trimester as part of their routine antenatal care. All women included in the study had a high suspicion of developing placenta accreta spectrum; the women were followed up until their delivery. White blood cell, neutrophil count, and red cell distribution width (RDW) were significantly higher in the women with accreta than those without accreta. RDW had fair ability (area under the curve, 0.707) as a predictor of accreta. RDW had the highest positive and lowest negative likelihood ratios (indicating better value than the rest of the markers). In multivariate analysis, RDW and the platelet-lymphocyte ratio were independently associated with accreta after adjustment to the effects of age, gestational age, gravida, parity, abortion, and past medical/surgical history. In conclusion, simple, early blood count parameters may be utilized for placenta accreta; RDW appears to be the best predictor of placenta accreta.

Indexed as

Placenta AccretaAdultBiomarkersErythrocyte IndicesFemaleHumansLeukocyte CountPredictive Value of TestsPregnancyPregnancy Trimester, FirstBiomarkers

Identifiers

PMID40184137
PMCPMC11709178

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.