Evidence map›Paper›PMID 32890392›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

A Diagnostic Model to Improve the Predictability of Natural Pregnancy Potential in Patients with Oligoasthenospermia.

Tiancheng Zhang, Xin Wang, Zhikai Wang, Zhiming Xu, Liang Chen, Maohua Miao, Bin Wu, Xuemei Wang, Xiaorong Shen, Jun Wu and 4 more

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Establishment of an oligoasthenospermia mouse model based onAnimal models and experimental medicine · 2021
    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

14 authors.

Tiancheng ZhangNHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China (mainland).
Xin WangNHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Hospital of SIPPR, Fudan University, Shanghai, China (mainland).
Zhikai WangNHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Hospital of SIPPR, Fudan University, Shanghai, China (mainland).
Zhiming XuNHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Hospital of SIPPR, Fudan University, Shanghai, China (mainland).
Liang ChenNHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Hospital of SIPPR, Fudan University, Shanghai, China (mainland).
Maohua MiaoNHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Public School, Fudan University, Shanghai, China (mainland).
Bin WuNHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China (mainland).
Xuemei WangNHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China (mainland).
Xiaorong ShenNHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China (mainland).
Jun WuNHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China (mainland).
Ke WangNHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China (mainland).
Huijuan ShiNHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China (mainland).
Jianhui LiNHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Hospital of SIPPR, Fudan University, Shanghai, China (mainland).
Jufen ZhengNHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Oligoasthenospermia is one of the major reasons for male infertility in clinical practice. Nevertheless, some patients with oligoasthenospermia show normal fertility. Currently, there is a lack of an effective method to distinguish patients with oligoasthenospermia showing normal fertility from those who lack natural fertility and should participate in in vitro fertilization and assisted reproduction. MATERIAL AND METHODS In this study, we collected semen and blood samples from 153 males of Shui nationality at reproductive age in Guizhou Province, southwest China. We measured the routine parameters for semen and some serological indicators. A clinical diagnosis model was then constructed to evaluate the fertility potential of oligoasthenospermia patients using a logistic stepwise regression method, which was then visualized with a nomogram. RESULTS Our results showed that this model could effectively assess the natural pregnancy potential of patients with oligoasthenospermia, and its sensitivity and specificity were superior to those of a traditional model that used only sperm motility and count to assess male fertility potential (area under the curve=0.7626 vs. 0.6677). Additionally, we evaluated the clinical net benefit for patients with oligoasthenospermia at different risk scores in our model using decision curve analysis. The results showed that the net benefit was obtained at scores ranging from 0.1 to 0.6. CONCLUSIONS This comprehensive clinical prediction model can be used to determine whether infertile oligoasthenospermia patients lack natural fertility.

Indexed as

FertilityNomogramsOligospermiaAdolescentAdultCross-Sectional StudiesFollicle Stimulating HormoneHomocysteineHumansLuteinizing HormoneMaleMiddle AgedTestosteroneYoung AdultFollicle Stimulating HormoneHomocysteineLuteinizing HormoneTestosterone

Identifiers

PMID32890392
PMCPMC7491230

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.