Evidence map›Paper›PMID 32617324›Full record

ArticleAnnals of translational medicine2020

Distinguishing risk factors between congenital anophthalmia and microphthalmia using multivariable logistic regression.

Yang Li, Zhijia Hou, Jingwen Ding, Ying Cui, Bixuan Qin, Dongmei Li

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. 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
0.9field-weighted citation impact, top 24% of its field
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, 6 citations in OpenAlex.

  1. Observational
  2. Review
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

6 authors at 2 institutions in 1 country.

Yang LiBeijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Capital Medical University, Beijing, China.
Zhijia HouBeijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Capital Medical University, Beijing, China.
Jingwen DingBeijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Capital Medical University, Beijing, China.
Ying CuiBeijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Capital Medical University, Beijing, China.
Bixuan QinBeijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Capital Medical University, Beijing, China.
Dongmei LiBeijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Capital Medical University, Beijing, China.
Beijing Tongren Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEtiologies of congenital microphthalmia and anophthalmia are unclear and commonly thought to be homogenous. To test if risk factors are similar for these two diseases, we compared the risk factors between congenital microphthalmia and anophthalmia in a large Chinese cohort.

methodsA total of 347 patients with congenital microphthalmia or anophthalmia diagnosed by magnetic resonance imaging (MRI), computed tomography (CT) or ultrasound from 2011 to 2018 were enrolled. Patients' clinical information, used as potential risk factors, was retrospectively collected. A multivariable logistic regression model was used to estimate odds ratios (OR) and 95% confidence intervals (CI).

resultsA total of 347 patients were affected by congenital microphthalmia or anophthalmia. A total of 324 cases were microphthalmia, and 23 cases were anophthalmia. Structural abnormalities, mother's age at initial pregnancy, whether the mother drinks, whether the mother was diseased during pregnancy and whether the father has systemic disease passed the univariate test. In the multivariable logistic regression model, whether the mother was diseased during pregnancy (OR =2.804, P=0.023) and whether the father had systemic disease (OR =4.795, P=0.027) are significant risk factors for anophthalmia over microphthalmia. Influenza or common cold infection accounted most of the mother's diseases during pregnancy.

conclusionsMothers with diseases, mainly influenza or common cold infection, during pregnancy are more likely to have baby with anophthalmia than microphthalmia. Our study indicated that there might be different etiologies for anophthalmia and microphthalmia.

Indexed as

Anophthalmiainfluenza or common cold infectionmicrophthalmiamultivariable logistic regressionrisk factor

Identifiers

PMID32617324
PMCPMC7327332
OpenAlexW3003522269

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.