Evidence map›Paper›PMID 42516810›Full record

ArticleFrontiers in global women's health2026

The

Zhou Fang, Nan Ding, Fang Wang

Abstract read
In one paragraph

Article in Frontiers in global women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

Zhou FangReproductive Medicine Center, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan City, Shandong, China.
Nan DingReproductive Medicine Center, The Second Hospital of Lanzhou University, Lanzhou City, Gansu, China.
Fang WangReproductive Medicine Center, The Second Hospital of Lanzhou University, Lanzhou City, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Miscarriage affects 15%-20% of clinically recognized pregnancies, yet reliable biomarkers for risk stratification remain elusive. While systemic inflammatory markers derived from routine complete blood count have shown promise in identifying associations with adverse pregnancy outcomes, their association with miscarriage has not been systematically evaluated. Methods: In this retrospective cohort study of 347 pregnant women with a history of at least one prior pregnancy loss, we calculated neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) from routine complete blood count tests. Associations with miscarriage were evaluated using four progressively adjusted logistic regression models accounting for demographic, reproductive, and metabolic confounders. Dose-response relationships were assessed through quartile analysis, threshold effects through piecewise linear regression, and non-linear associations through generalized additive models. Results: After comprehensive adjustment, higher NLR was independently associated with reduced miscarriage risk (OR = 0.67 per doubling, 95%CI: 0.49-0.91, Conclusions: Among women with a history of prior pregnancy loss, NLR and LMR were independently associated with miscarriage in opposing directions, consistent with a

Indexed as

biomarkersinflammationlymphocyte-to-monocyte ratiomiscarriageneutrophil-to-lymphocyte ratio

Identifiers

PMID42516810
PMCPMC13402462

What OpenQuestion holds

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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.