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Record W4379259587 · doi:10.1016/j.diabres.2023.110740

Significance of cell adhesion molecules profile during pregnancy in gestational diabetes mellitus. A systematic review and meta-analysis

2023· review· en· W4379259587 on OpenAlexaboutno aff
María del Mar Roca-Rodríguez, Pablo Ramos‐García, Cristina López‐Tinoco, Manuel Aguilar‐Diosdado

Bibliographic record

VenueDiabetes Research and Clinical Practice · 2023
Typereview
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGestational diabetesMeta-analysisDiabetes mellitusEndothelial dysfunctionPregnancyEtiologyInternal medicineObstetricsGestationEndocrinology

Abstract

fetched live from OpenAlex

Endothelial dysfunction has been considered as a key etiological factor contributed to the development of vascular disease in diabetes mellitus. Serum level of endothelial cell adhesion molecules (AMs) were reported to be increased in GDM and pregnant women with normal glucose tolerance when compared with nonpregnant women. The literature provides limited evidence of endothelial dysfunction in GDM with heterogeneous and contradictory results respect to their possible involvement in maternal, perinatal and future complications. Our objective is to evaluate current evidence on the role of AMs in maternal and perinatal complications in women with GDM. PubMed, Embase, Web of Science, and Scopus databases were searched. We evaluated the studies' quality using the Newcastle-Ottawa scale. Meta-analyses were conducted, and heterogeneity and publication bias were examined. Nineteen relevant studies were finally included, recruiting 765 GDM and 2368 control pregnant women. AMs levels were generally higher in GDM participants showing statistical significance maternal ICAM-1 levels (SMD = 0.58, 95% CI = 0.25 to 0.91; p = 0.001). Our meta-analysis did not detect significant differences in subgroups or in meta-regression analyses. Future studies are needed to establish the potential role of these biomarkers in GDM and its complications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.724
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.239
GPT teacher head0.500
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2023
Admission routes1
Has abstractyes

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