Evidence map›Paper›PMID 40791053›Full record

ArticleActas espanolas de psiquiatria2025

Assessing Factors Affecting Postpartum Post-Traumatic Stress Disorder and Development of Risk Prediction Nomogram Model.

Xinling Wang, Li Liu, Rong Pang, Sisi Li, Suting Dong

Abstract read
In one paragraph

Article in Actas espanolas de psiquiatria, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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

5 authors.

Xinling WangDepartment of Obstetrical, Hebei Province People's Hospital, 050000 Shijiazhuang, Hebei, China.
Li LiuDepartment of Obstetrical, Hebei Province People's Hospital, 050000 Shijiazhuang, Hebei, China.
Rong PangDepartment of Ophthalmology of Traditional Chinese Medicine, Hebei Province People's Hospital, 050000 Shijiazhuang, Hebei, China.
Sisi LiDepartment of Obstetrical, Hebei Province People's Hospital, 050000 Shijiazhuang, Hebei, China.
Suting DongPhysical Examination Center, Hebei Province People's Hospital, 050000 Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, the factors impacting postpartum post-traumatic stress disorder (PP-PTSD) remain unclear. Therefore, this study aimed to screen the PP-PTSD risk factors and to develop an effective and user-friendly column chart prediction model (nomogram), thereby providing a basis for early clinical diagnosis and prompt intervention.

methodsThis retrospective study collected 180 postpartum women between January 2023 and December 2023. Based on the occurrence of PP-PTSD, study participants were divided into two groups: a control group (No-PP-PTSD) and an observation group (PP-PTSD). The logistic regression analysis were used to identify independent risk factors for this condition, and nomogram models were developed by incorporating these items. Furthermore, we applied the calibration plots, decision curve analysis (DCA), and receiver operating characteristic (ROC) curve to assess the predictive performance of the nomogram.

resultsMultivariable logistic regression analysis identified working condition (p = 0.008), relationship with the second primary caregiver of the child (p < 0.001), type of pregnancy (p < 0.001), pregnancy mode (p < 0.001), newborns sent to the ICU (p < 0.001), postpartum anxiety (p = 0.002), and plan pregnancy (p = 0.001) as independent risk factors for PP-PTSD.

conclusionsWe developed a user-friendly and scientifically robust nomogram model for predicting PP-PTSD risk in postpartum women. This predicting tool has the potential to assist clinicians in making informed decisions concerning PP-PTSD among postpartum women.

Indexed as

NomogramsPostpartum PeriodPuerperal DisordersStress Disorders, Post-TraumaticAdultFemaleHumansLogistic ModelsPregnancyRetrospective StudiesRisk AssessmentRisk FactorsROC CurveYoung Adult

Identifiers

PMID40791053
PMCPMC12353223

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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.