Evidence map›Paper›PMID 41366337›Full record

ArticleBMC pregnancy and childbirth2025

Characteristics, assessment tools, and influencing factors of symptom clusters among pregnant women in first trimester of pregnancy: a scoping review.

Ting Wang, Yongjie Tang, Yang Jin

Abstract readScoping Review
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ting WangDepartment of Gynecology and Obstetrics, Hangzhou Hospital of Traditional Chinese Medicine, Affiliated Hangzhou Traditional Chinese Medicine (TCM) Hospital of Zhejiang Chinese Medical University, No. 453 Tiyuchang Road, Hangzhou, 310005, China.
Yongjie TangSchool of Nursing, Zhejiang Chinese Medical University, No. 548 Binwen Road, Hangzhou, 310053, China.
Yang JinDepartment of Gynecology and Obstetrics, Hangzhou Hospital of Traditional Chinese Medicine, Affiliated Hangzhou Traditional Chinese Medicine (TCM) Hospital of Zhejiang Chinese Medical University, No. 453 Tiyuchang Road, Hangzhou, 310005, China. 260918052@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly pregnancy is frequently accompanied by a confluence of somatic and psychological symptoms that aggregate into distinct symptom clusters. Evidence regarding the types, assessment tools, and influencing factors of these clusters remains fragmented. Thus, this study aims to identify the characteristics and current research status of symptom clusters experienced by pregnant women during early pregnancy, providing valuable insights for enhancing the management of symptom clusters.

methodsFollowing the Joanna Briggs Institute Scoping Review Methodology Framework and reported in accordance with Preferred Reporting Items for Systematic Review and Meta-analyses Extension for Scoping Review guidelines, we searched across eight relevant databases, including CNKI, Wanfang Data, CBM, VIP Information, PubMed, Embase, Web of Science, and CINAHL(15 March 2025). Two reviewers selected studies independently. Our research questions centered on identifying the types and characteristics of symptom clusters, available assessment tools, and the influencing factors of symptom clusters.

resultsOf 18,474 records identified, a total of 12 studies were included, and 6 symptom clusters were extracted. The most prevalent were psychological-emotional, gastrointestinal and sleep-related symptoms. Ten different assessment tools were identified for evaluating symptom clusters, although there were variations among them. The most frequently used were the Memorial Symptom Assessment Scale (MSAS) and the Edinburgh Postnatal Depression Scale (EPDS). The influencing factors were primarily categorized into sociodemographic, lifestyle and behavioral and psychological factors.

conclusionPregnant women in early pregnancy experience multiple symptom clusters that dynamically change over time, and there are numerous influencing factors. Therefore, standardized symptom cluster terminology and developed specific assessment tools remain research priorities. Currently, medical staff should consider routine screening with the aforementioned validated tools to promptly identify high-risk symptom clusters, and subsequently develop personalized management plans. This scoping review provides a foundation for enhancing clinical symptom management efficiency.

Indexed as

Pregnancy ComplicationsPregnancy Trimester, FirstPregnant PeopleSymptom AssessmentFemaleHumansPregnancyAssessment toolEvidence based nursingFirst trimester of pregnancyInfluencing factorScoping reviewSymptom cluster

Identifiers

PMID41366337
PMCPMC12690784

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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.