Evidence map›Paper›PMID 24904990›Full record

Trial reportPloS one2014

Serum estradiol levels predict survival and acute kidney injury in patients with septic shock--a prospective study.

Jia-Yih Feng, Kuan-Ting Liu, Edward Abraham, Cheng-Yu Chen, Po-Yi Tsai, Yu-Chun Chen, Yu-Chin Lee, Kuang-Yao Yang

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  10. Sex differences in cardiovascular response to sepsis.American journal of physiology. Cell physiology · 2023
    Review
  11. Article
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  15. Review
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  17. Review
  18. The role of gender disparities in kidney injury.Annals of translational medicine · 2020
    Article
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  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

8 authors at 4 institutions in 2 countries.

Jia-Yih FengDepartment of Chest Medicine, Taipei Veterans General Hospital, Shipai Road, Taipei, Taiwan, R.O.C; Institute of Clinical Medicine, School of Medicine, National Yang-Ming University, Linong Street, Taipei, Taiwan, R.O.C.
Kuan-Ting LiuTaipei City Hospital, Zhongxiao Branch, Tung Teh Road, Taipei, Taiwan, R.O.C; School of Medicine, National Yang-Ming University, Taipei, Taiwan, R.O.C.
Edward AbrahamWake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina, United States of America.
Cheng-Yu ChenSchool of Medicine, National Yang-Ming University, Taipei, Taiwan, R.O.C; Section of Chest Medicine, Department of Internal Medicine, National Yang-Ming University Hospital, Ilan, Taiwan, ROC.
Po-Yi TsaiSchool of Medicine, National Yang-Ming University, Taipei, Taiwan, R.O.C; Department of Physical Medicine and Rehabilitation, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Yu-Chun ChenSchool of Medicine, National Yang-Ming University, Taipei, Taiwan, R.O.C; Department of Medical Research and Education, National Yang-Ming University Hospital, I-Lan, Taiwan, R.O.C.
Yu-Chin LeeDepartment of Chest Medicine, Taipei Veterans General Hospital, Shipai Road, Taipei, Taiwan, R.O.C; School of Medicine, National Yang-Ming University, Taipei, Taiwan, R.O.C.
Kuang-Yao YangDepartment of Chest Medicine, Immunology Center, Taipei Veterans General Hospital, Shipai Road, Taipei, Taiwan, R.O.C; Immunity and Inflammation Research Center, School of Medicine, National Yang-Ming University, Linong Street, Taipei, Taiwan, R.O.C.
National Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TWNational Yang Ming University Hospital · TWWake Forest University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex hormones have diverse immunomodulatory effects that may be involved in the pathogenesis of sepsis. However, the roles of serum sex hormones in predicting outcomes and the severity of organ dysfunction, especially acute kidney injury (AKI), in septic shock patients remains controversial. We prospectively enrolled 107 clinically diagnosed pneumonia-related septic shock patients and serum sex hormone levels were measured on the day of shock onset. The aim of the present study was to investigate the predictive values of serum sex hormones levels for 28-day mortality and organs dysfunction, especially AKI. Compared with survivors, serum levels of progesterone (p<0.001) and estradiol (p<0.001) were significantly elevated in non-survivors. In multivariate Cox regression analysis, serum level of estradiol >40 pg/mL (p = 0.047) and APACHE II score ≥25 (p = <0.001) were found to be independent predictors of day 28 mortality. Inclusion of estradiol levels further enhanced the ability of APACHE II scores to predict survival in patients with high mortality risk. A serum level of estradiol >40 pg/mL was also an independent predictor of concomitant AKI (p = 0.002) and correlated well with severity of renal dysfunction using RIFLE classification. Elevated serum estradiol levels also predicted the development of new AKI within 28 days of shock onset (p = 0.013). In conclusion, serum estradiol levels appear to have value in predicting 28-day mortality in septic shock patients. Increased serum estradiol levels are associated with higher severity of concomitant AKI and predict development of new AKI.

Indexed as

Acute Kidney InjuryAgedAged, 80 and overBiomarkersEstradiolFemaleHumansMaleProgesteronePrognosisProspective StudiesShock, SepticBiomarkersEstradiolProgesterone

Identifiers

PMID24904990
PMCPMC4048195
OpenAlexW2055423905

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.