Evidence map›Paper›PMID 41601745›Full record

ArticleFrontiers in medicine2025

A study on the correlation between albumin-to-alkaline phosphatase ratio and the severity of pelvic inflammatory disease.

Lei Wang, He Yuan, Pengfei Bian, Jinhua Yuan, Yongai Yu

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. 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

5 authors.

Lei WangDepartment of Gynecology and Obstetrics, Central Hospital of Dalian University of Technology, Dalian Municipal Central Hospital, Dalian, China.
He YuanDepartment of Gynecology and Obstetrics, Central Hospital of Dalian University of Technology, Dalian Municipal Central Hospital, Dalian, China.
Pengfei BianDepartment of Gynecology and Obstetrics, Central Hospital of Dalian University of Technology, Dalian Municipal Central Hospital, Dalian, China.
Jinhua YuanDepartment of Gynecology and Obstetrics, Central Hospital of Dalian University of Technology, Dalian Municipal Central Hospital, Dalian, China.
Yongai YuDepartment of Gynecology and Obstetrics, Central Hospital of Dalian University of Technology, Dalian Municipal Central Hospital, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate albumin-to-alkaline phosphatase ratio (AAPR) as a pelvic inflammatory disease (PID) severity biomarker and determine PID predictors. Methods: This retrospective study included ninety-nine patients with PID, as the experimental group, further classified by severity into mild and severe PID groups. The control group included forty-nine patients who underwent elective surgery for non-inflammatory tubal-ovarian masses in the same period. Relationships between PID severity and general information, vital signs, laboratory indices, and imaging characteristics among the three groups were analyzed. Independent PID severity predictors were determined using multivariate regression analysis. Results: (1) Significant differences were observed in body temperature, heart rate, respiratory rate, white blood cell count, neutrophil percentage, absolute neutrophil count, alkaline phosphatase, fibrinogen, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio among the mild PID, severe PID, and control groups ( Conclusions: AAPR was negatively correlated with PID severity and was identified as an independent PID severity predictor, providing a new reference for clinical disease monitoring.

Indexed as

albumin-to-alkaline phosphatase ratiobiomarkerimmune inflammationpelvic inflammatory diseaseprediction

Identifiers

PMID41601745
PMCPMC12832756

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.