Evidence map›Paper›PMID 33420872›Full record

ArticleEuropean journal of epidemiology2021

Pre-diagnostic circulating concentrations of insulin-like growth factor-1 and risk of COVID-19 mortality: results from UK Biobank.

Xikang Fan, Cheng Yin, Jiayu Wang, Mingjia Yang, Hongxia Ma, Guangfu Jin, Mingyang Song, Zhibin Hu, Hongbing Shen, Dong Hang

Open access · hybridAbstract read
In one paragraph

Article in European journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Effect of Pituitary-Target Gland Axis on RAAS in the Context of COVID-19.International journal of medical sciences · 2025
    Review
  6. Article
  7. Article
  8. Review
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  10. Article
  11. Article
  12. Article
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  15. Integrated bioinformatics andFrontiers in nutrition · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. The Effects of Insulin-Like Growth Factor I and BTP-2 on Acute Lung Injury.International journal of molecular sciences · 2021
    Article
  20. 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

10 authors at 3 institutions in 2 countries.

Xikang Fan *Department of Epidemiology and Biostatistics, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China.
Cheng Yin *Department of Laboratory, Jiangning Hospital Affiliated to Nanjing Medical University, Nanjing, 211100, China.
Jiayu WangDepartment of Epidemiology and Biostatistics, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China.
Mingjia YangDepartment of Epidemiology and Biostatistics, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China.
Hongxia MaDepartment of Epidemiology and Biostatistics, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China.
Guangfu JinDepartment of Epidemiology and Biostatistics, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China.
Mingyang SongDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
Zhibin HuDepartment of Epidemiology and Biostatistics, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China.
Hongbing ShenDepartment of Epidemiology and Biostatistics, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China.
Dong HangDepartment of Epidemiology and Biostatistics, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China. hangdong@njmu.edu.cn.ORCID http://orcid.org/0000-0001-6944-0459
Nanjing Medical University · CNHarvard University · USJiangsu Cancer Hospital · CN

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853National Key R&D Program of China 2016YFC1000200National Key R&D Program of China 2017YFC0908300National Natural Science Foundation of China 81521004National Natural Science Foundation of China 81820108028National Natural Science Foundation of China 81973127National Natural Science Foundation of China 82041026Science Foundation for Excellent Young Scholars of Jiangsu BK20190083
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) deteriorates suddenly primarily due to excessive inflammatory injury, and insulin-like growth factor-1 (IGF-1) is implicated in endocrine control of the immune system. However, the effect of IGF-1 levels on COVID-19 prognosis remains unknown. Using UK Biobank resource, we investigated the association between circulating IGF-1 concentrations and mortality risk (available death data updated on 07 Sep 2020) among COVID-19 patients who had pre-diagnostic serum IGF-1 measurements at baseline (2006-2010). Unconditional logistic regression was performed to estimate the odds ratio (OR) and 95% confidence intervals (CIs) of mortality. Among 1670 COVID-19 patients, 415 deaths occurred due to COVID-19. Compared to the lowest quartile of IGF-1 concentrations, the highest quartile was associated with a 41% lower risk of mortality (OR = 0.59, 95% CI 0.41-0.86, P-trend = 0.01). In the continuous model, per 1-standard deviation increment in log-transformed IGF-1 was associated with a 15% reduction in the risk (intraclass correlation coefficients corrected OR = 0.85, 95% CI 0.73-0.99). The association was largely consistent in the various stratified and sensitivity analyses. In conclusion, our data suggest that higher IGF-1 concentrations are associated with a lower risk of COVID-19 mortality. Further studies are required to determine whether and how targeting IGF-1 pathway might improve COVID-19 prognosis.

Indexed as

AgedAged, 80 and overBiological Specimen BanksBiomarkersCOVID-19FemaleHumansInsulin-Like Growth Factor ILogistic ModelsMaleMiddle AgedOdds RatioPrognosisRisk FactorsSARS-CoV-2United KingdomBiomarkersInsulin-Like Growth Factor ICoronavirus infectionCOVID-19IGF-1MortalitySARS-CoV-2UK biobank

Identifiers

PMID33420872
PMCPMC7794621
OpenAlexW3118613406

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.