Evidence map›Paper›PMID 26398207›Full record

ArticlePLoS neglected tropical diseases2015

Prognostic Analysis of Patients with Ebola Virus Disease.

Xin Zhang, Yihui Rong, Lijian Sun, Liming Liu, Haibin Su, Jian Zhang, Guangju Teng, Ning Du, Haoyang Chen, Yuan Fang and 6 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. A systematic review and meta-analysis of patient data from the West Africa (2013-16) Ebola virus disease epidemic.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2019
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
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  8. Observational
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  10. Review
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  13. The predictor of mortality outcome in adult patients with Ebola virus disease during the 2014-2015 outbreak in Guinea.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2017
    Observational
  14. Article
  15. Article
  16. Molecular mechanisms of Ebola pathogenesis.Journal of leukocyte biology · 2016
    Review
  17. Article
  18. Article
  19. Article
  20. Age and Ebola viral load correlate with mortality and survival time in 288 Ebola virus disease patients.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2016
    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

16 authors.

Xin ZhangPLA General Hospital, Beijing, China; Beijing 302 Hospital, Beijing, China.
Yihui RongBeijing 302 Hospital, Beijing, China.
Lijian SunBeijing 302 Hospital, Beijing, China.
Liming LiuBeijing 302 Hospital, Beijing, China.
Haibin SuBeijing 302 Hospital, Beijing, China.
Jian ZhangBeijing 302 Hospital, Beijing, China.
Guangju TengBeijing 302 Hospital, Beijing, China.
Ning DuBeijing 302 Hospital, Beijing, China.
Haoyang ChenBeijing 302 Hospital, Beijing, China.
Yuan FangBGC Biotechnology Research Center, Jinan, Shandong, China.
Wei ZhanBGC Biotechnology Research Center, Jinan, Shandong, China.
Alex B J KanuJui Government Hospital, Freetown, Sierra Leone.
Sheku M KoromaJui Government Hospital, Freetown, Sierra Leone.
Bo JinBeijing 302 Hospital, Beijing, China.
Zhe XuBeijing 302 Hospital, Beijing, China.
Haihan SongEmergency Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Ebola virus causes an acute, serious illness which is often fatal if untreated. However, factors affecting the survival of the disease remain unclear. Here, we investigated the prognostic factors of Ebola virus disease (EVD) through various statistical models. METHODOLOGY/PRINCIPAL

findingsSixty three laboratory-confirmed EVD patients with relatively complete clinical profiles were included in the study. All the patients were recruited at Jui Government Hospital, Sierra Leone between October 1st, 2014 and January 18th, 2015. We first investigated whether a single clinical presentation would be correlated with the survival of EVD. Log-rank test demonstrated that patients with viral load higher than 10(6) copies/ml presented significantly shorter survival time than those whose viral load were lower than 10(6) copies/ml (P = 0.005). Also, using Pearson chi-square test, we identified that chest pain, coma, and viral load (>10(6) copies/ml) were significantly associated with poor survival of EVD patients. Furthermore, we evaluated the effect of multiple variables on the survival of EVD by Cox proportional hazards model. Interestingly, results revealed that patient's age, symptom of confusion, and viral load were the significantly associated with the survival of EVD cases (P = 0.017, P = 0.002, and P = 0.027, respectively). CONCLUSIONS/SIGNIFICANCE: These results suggest that age, chest pain, coma, confusion and viral load are associated with the prognosis of EVD, in which viral load could be one of the most important factors for the survival of the disease.

Indexed as

AdultAge FactorsEbolavirusFemaleHemorrhagic Fever, EbolaHumansMalePrognosisProportional Hazards ModelsSierra LeoneSurvival AnalysisViral Load

Identifiers

PMID26398207
PMCPMC4580459

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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.