Evidence map›Paper›PMID 37559346›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2023

Impact of Maternal Preoperative Hemoglobin Levels on Intraoperative Hemorrhage Risk in Placenta Accrete Spectrum Disorders: A Retrospective Cross-Sectional Study.

Baolian Zhang, Hong Liu, Wenli Wang, Jia Wang, Yuping Jiang, Wen Jia, Haiyan Li, He Zhu, Xiaona Du, Xianghua Huang

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Prenatal predictors of severe maternal outcomes in placenta accreta spectrum: A multicenter cohort study in China.European journal of obstetrics & gynecology and reproductive biology: X · 2026
    Article
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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

10 authors at 2 institutions in 1 country.

Baolian ZhangDepartment of Physical Examination Center, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Hong LiuDepartment of Physical Examination Center, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Wenli WangDepartment of Gynecology and Obstetrics, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Jia WangDepartment of Quality Control, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Yuping JiangDepartment of Gynecology and Obstetrics, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Wen JiaDepartment of Gynecology and Obstetrics, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Haiyan LiDepartment of Gynecology and Obstetrics, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
He ZhuDepartment of Gynecology and Obstetrics, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Xiaona DuDepartment of Gynecology and Obstetrics, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Xianghua HuangDepartment of Gynecology and Obstetrics, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Hebei Medical University · CNSecond Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Placenta accreta spectrum (PAS) disorders involve abnormal adhesion or invasion of chorionic villi through the myometrium and uterine serosa. Maternal anemia during pregnancy is common and may contribute to complications during delivery, particularly with abnormal placentation. This study examines the association between preoperative maternal hemoglobin levels and the risk of intraoperative massive hemorrhage in pregnant women with PAS disorders. MATERIAL AND METHODS A retrospective study included 538 consecutive participants (mean age=31.12&plusmn;4.68 years) who underwent cesarean sections and met the diagnostic criteria for PAS disorders. Logistic regression analysis was performed to investigate the relationship between maternal preoperative hemoglobin levels and the risk of massive intraoperative hemorrhage (blood loss ≥1500 mL). RESULTS The incidence of intraoperative massive hemorrhage among patients with PAS disorders was 38.66%. The mean preoperative maternal hemoglobin level was 10.99&plusmn;1.39 g/dL, and overall anemia incidence (<11 g/dL) was 48.88% in our study. After adjusting for potential confounders, a non-linear relationship was observed between preoperative maternal hemoglobin levels and the risk of intraoperative massive hemorrhage. When the preoperative hemoglobin level of pregnant women was below 11.5 g/dL (OR=0.52, 95% CI 0.39-0.70), the lower hemoglobin level significantly increased the risk of intraoperative hemorrhage. CONCLUSIONS Maternal preoperative hemoglobin levels were inversely associated with the risk of massive intraoperative hemorrhage in PAS disorders. A non-linear relationship was identified, with a turning point at 11.5 g/dL. These findings emphasize the importance of monitoring and managing maternal hemoglobin levels to mitigate the risk of intraoperative hemorrhage in pregnant women with PAS disorders.

Indexed as

PlacentaPlacenta AccretaAdultBlood Loss, SurgicalCross-Sectional StudiesFemaleHemoglobinsHumansPregnancyRetrospective StudiesHemoglobins

Identifiers

PMID37559346
PMCPMC10426315
OpenAlexW4384560412

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.