Evidence map›Paper›PMID 31765414›Full record

ArticlePLoS neglected tropical diseases2019

A nomogram to predict mortality in patients with severe fever with thrombocytopenia syndrome at the early stage-A multicenter study in China.

Lin Wang, Gang Wan, Yi Shen, Zhenghua Zhao, Ling Lin, Wei Zhang, Rui Song, Di Tian, Jing Wen, Yongxiang Zhao and 15 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 14% 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 48 citations in OpenAlex.

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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

25 authors at 5 institutions in 1 country.

Lin WangCenter of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Gang WanStatistics Room, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Yi ShenDepartment of Infectious Diseases, Dandong Infectious Disease Hospital, Dandong, China.
Zhenghua ZhaoDepartment of Infectious Disease, Taian City Central Hospital, Taian, China.
Ling LinDepartment of Infectious Disease, Yantai City Hospital for Infectious Disease, Yantai, China.
Wei ZhangCenter of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Rui SongCenter of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Di TianCenter of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Jing WenCenter of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Yongxiang ZhaoDepartment of Infectious Diseases, Dandong Infectious Disease Hospital, Dandong, China.
Xiaoli YuDepartment of Infectious Diseases, Dandong Infectious Disease Hospital, Dandong, China.
Li LiuDepartment of Infectious Disease, Taian City Central Hospital, Taian, China.
Yang FengDepartment of Infectious Disease, Taian City Central Hospital, Taian, China.
Yuanni LiuDepartment of Infectious Disease, Yantai City Hospital for Infectious Disease, Yantai, China.
Chunqian QiangDepartment of Infectious Disease, Yantai City Hospital for Infectious Disease, Yantai, China.
Jianping DuanDepartment of Infectious Disease, Qing Dao No. 6 People's Hospital, Qingdao, China.
Yanli MaDepartment of Infectious Disease, Qing Dao No. 6 People's Hospital, Qingdao, China.
Ying LiuClinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Yanan LiuClinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Chong ChenGraduate School of Capital Medical University, Beijing, China.
Ziruo GeGraduate School of Capital Medical University, Beijing, China.
Xingwang LiCenter of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Zhihai ChenCenter of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-6481-4781
Tianli FanDepartment of Infectious Disease, Qing Dao No. 6 People's Hospital, Qingdao, China.ORCID 0000-0002-3401-1280
Wei LiInterventional Therapy Oncology, Beijing Ditan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-9991-7892
Capital Medical University · CNJinan Infectious Disease Hospital · CNQingdao Eighth People's Hospital · CNTaian City Central Hospital · CNYantai Infectious Diseases Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere fever with thrombocytopenia syndrome (SFTS) caused by the SFTS virus is an emerging infectious disease that was first identified in the rural areas of China in 2011. Severe cases often result in death due to multiple organ failure. To date, there are still numerous problems remain unresolved in SFTS, including unclear pathogenesis, lack of specific treatment, and no effective vaccines available.

aimTo analyze the clinical information of patients with early-stage SFTS and to establish a nomogram for the mortality risk.

methodsBetween April 2011 and December 2018, data on consecutive patients who were diagnosed with SFTS were prospectively collected from five medical centers distributed in central and northeastern China. Multivariable Cox analyses were used to identify the factors independently associated with mortality. A nomogram for mortality was established using those factors.

resultsDuring the study period, 429 consecutive patients were diagnosed with SFTS at the early stage of the disease (within 7 days of fever), among whom 69 (16.1%) died within 28 days. The multivariable Cox proportional hazard regression analysis showed that low lymphocyte percentage, early-stage encephalopathy, and elevated concentration of serum LDH and BUN were independent risk factors for fatal outcomes. Received-operating characteristic curves for 7-, 14-, and 28-days survival had AUCs of 0.944 (95% CI: 0.920-0.968), 0.924 (95% CI: 0.896-0.953), and 0.924 (95% CI: 0.895-0.952), respectively. Among low-risk patients, 6 patients died (2.2%). Among moderate-risk patients, 25 patients died (24.0%, hazard ratio (HR) = 11.957). Among high-risk patients, the mortality rate was 69.1% (HR = 57.768).

conclusionWe established a simple and practical clinical scoring system, through which we can identify critically ill patients and provide intensive medical intervention for patients as soon as possible to reduce mortality.

Indexed as

Clinical Decision RulesNomogramsAdultAgedBunyaviridae InfectionsChinaFemaleHumansMaleMiddle AgedPrognosisProspective StudiesRisk FactorsSurvival Analysis

Identifiers

PMID31765414
PMCPMC6934327
OpenAlexW3001227863

What OpenQuestion holds

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LicenceCC BY
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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.