Evidence map›Paper›PMID 41048951›Full record

SynthesisFrontiers in medicine2025

The predictive value of neutrophil to lymphocyte ratio for abortion: a systematic review and meta-analysis.

Mi Wang, Rui Yue, Jun Xi, Fang Yan

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Mi WangDepartment of Blood Transfusion, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, China.
Rui YueDepartment of Blood Transfusion, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, China.
Jun XiMedical Laboratory, XD Group Hospital, Xi'an, China.
Fang YanDepartment of Blood Transfusion, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Abortion usually refers to the loss of pregnancy before viability. Despite a potential link between neutrophil-lymphocyte ratio (NLR) levels and abortion, inconclusive findings remain. This review aimed to comprehensively appraise the predictive utility of NLR levels in abortion, offering a new approach to clarify its potential role as a biomarker. Methods: PubMed and Cochrane Library were searched for relevant cohort and case-control studies until September 2024. Odds ratio (OR) or weighted mean difference (WMD) with 95% CI of abortion were computed. Subgroup analyses were implemented to clarify potential sources of heterogeneity. Results: Higher NLR levels were linked to an enhanced risk of abortion as a continuous (WMD, 0.58; 95% CI: 0.29, 0.88) and dichotomous variable (OR, 1.33; 95% CI: 1.03, 1.72). In subgroup analyses, pooled results from studies with NLR cut-off>3, Asia populations, missed abortion, spontaneous abortion, and mean age>30 demonstrated an increased risk of abortion. In continuous NLR for predicting abortion, retrospective study, Europe populations, threatened abortion, recurrent pregnancy loss, and abortion had an enhanced risk of abortion for higher NLR levels as a dichotomous variable. Conclusion: Pooled analyses demonstrated that higher NLR levels may predict abortion. Further investigations need to determine whether these findings can be generalized to all populations. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/485726.

Indexed as

abortionneutrophil to lymphocyte ratioNLRpregnancyprognosis

Identifiers

PMID41048951
PMCPMC12491316

What OpenQuestion holds

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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.