Evidence map›Paper›PMID 39928780›Full record

ArticleMedicine2025

Clinical characteristics and risk factors of female precocious puberty.

Hongli Qi, Shanshan Pu, Huibin Zhai

Abstract read
In one paragraph

Article 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

3 authors.

Hongli QiDepartment of Pediatrics, Pu'er People's Hospital, Pu'er City, Yunnan, China.
Shanshan Pu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the clinical characteristics and risk factors of female precocious puberty. This retrospective study was conducted on 119 girls with precocious puberty admitted to Pu'er People's Hospital from January 2022 to November 2023 (PP group) and 119 girls with normal sexual maturity during the same period (normal group). Clinical characteristics (including laboratory indicators) and general conditions of participants in both groups were collected and compared. The risk factors of female precocious puberty were analyzed using logistic analysis. There were statistically significant differences in axillary hair growth, early menarche, vaginal mucus appearance, pubic hair growth, breast development, areola diameter, ovarian volume, uterine volume, bone age, body mass index, height, prolactin, progesterone, estradiol, follicle stimulating hormone, and luteinizing hormone levels between the 2 groups (P < .05). There were statistically significant differences in frequent use of cosmetics, polluted living environment (chemical and pesticide detergents), sleeping with the light on at night, early exposure to sexual information, consumption of fried foods > 2 times/week, consumption of snacks > 2 times/week, parental discord, consumption of off-season fruits and vegetables, consumption of domestic poultry > 7 times/week, mother's menarche < 12 years, and mother's breast development age ≤ 10 years between the 2 groups (P < .05). Logistic analysis confirmed that frequent use of cosmetics, polluted living environment (chemical and pesticide detergents), sleeping with the light on at night, early exposure to sexual information, consumption of fried foods > 2 times/week, consumption of snacks > 2 times/week, parental discord, consumption of off-season fruits and vegetables, consumption of domestic poultry > 7 times/week, mother's menarche < 12 years old, and mother's breast development age ≤ 10 years old were risk factors of female precocious puberty (P < .05). In clinical practice, targeted prevention and control can be implemented based on relevant risk factors to improve the physical and mental health of children.

Indexed as

Puberty, PrecociousBody Mass IndexChildFemaleHumansLuteinizing HormoneMenarcheRetrospective StudiesRisk FactorsLuteinizing Hormone

Identifiers

PMID39928780
PMCPMC11813032

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.