Evidence map›Paper›PMID 25593743›Full record

ArticleAnnals of intensive care2014

Early-phase changes of extravascular lung water index as a prognostic indicator in acute respiratory distress syndrome patients.

Takashi Tagami, Toshiaki Nakamura, Shigeki Kushimoto, Ryoichi Tosa, Akihiro Watanabe, Tadashi Kaneko, Hidetada Fukushima, Hiroshi Rinka, Daisuke Kudo, Hideaki Uzu and 16 more

Abstract read
In one paragraph

Article in Annals of intensive care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

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  19. Transpulmonary thermodilution: advantages and limits.Critical care (London, England) · 2017
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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

26 authors.

Takashi TagamiDepartment of Emergency and Critical Care Medicine, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo 113-8603, Japan ; Department of Clinical Epidemiology and Health Economics, School of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
Toshiaki NakamuraIntensive Care Unit, Nagasaki University Hospital, Nagasaki 852-8501, Japan.
Shigeki KushimotoDivision of Emergency Medicine, Tohoku University Graduate School of Medicine, Miyagi 986-2242, Japan.
Ryoichi TosaDepartment of Emergency and Critical Care Medicine, Aizu Chuo Hospital, Fukushima 965-8611, Japan.
Akihiro WatanabeDepartment of Emergency and Critical Care Medicine, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo 113-8603, Japan.
Tadashi KanekoAdvanced Medical Emergency and Critical Care Center, Yamaguchi University Hospital, Yamaguchi 755-8505, Japan.
Hidetada FukushimaDepartment of Emergency and Critical Care Medicine, Nara Medical University, Nara 634-8522, Japan.
Hiroshi RinkaEmergency and Critical Care Medical Center, Osaka City General Hospital, Osaka 534-0021, Japan.
Daisuke KudoDivision of Emergency Medicine, Tohoku University Graduate School of Medicine, Miyagi 986-2242, Japan.
Hideaki UzuDepartment of Emergency and Critical Care Medicine, Kurume University School of Medicine, Fukuoka 830-0011, Japan.
Akira MuraiDepartment of Emergency and Critical Care Medicine, Fukuoka University Hospital, Fukuoka 814-0180, Japan.
Makoto TakatoriDepartment of Anesthesia and Intensive Care, Hiroshima City Hospital, Hiroshima 730-8518, Japan.
Hiroo IzuminoAdvanced Emergency and Critical Care Center, Kansai Medical University Takii Hospital, Osaka 570-8507, Japan.
Yoichi KaseDepartment of Critical Care Medicine, Jikei University School of Medicine, Tokyo 105-8461, Japan.
Ryutarou SeoIntensive Care Unit, Kobe City Medical Center General Hospital, Hyogo 650-0046, Japan.
Hiroyuki TakahashiShock Trauma and Emergency Medical Center, Tokyo Medical and Dental University Hospital of Medicine, Tokyo 113-8519, Japan.
Yasuhide KitazawaDepartment of Emergency and Critical Care Medicine, Kansai Medical University, Osaka 570-8506, Japan.
Junko YamaguchiDivision of Emergency and Critical Care Medicine, Department of Acute Medicine, Nihon University School of Medicine, Tokyo 173-8610, Japan.
Manabu SugitaDepartment of Emergency and Critical Care Medicine, Juntendo University Nerima Hospital, Tokyo 177-8521, Japan.
Hiroyuki TakahashiDepartment of Intensive Care Medicine, Saiseikai Yokohamashi Tobu Hospital, Kanagawa 230-8765, Japan.
Yuichi KurokiDepartment of Emergency and Critical Care Medicine, Social Insurance Chukyo Hospital, Aichi 457-8510, Japan.
Takashi KanemuraEmergency and Critical Care Medicine, National Hospital Organization Disaster Medical Center, Tokyo 190-0014, Japan.
Kenichiro MorisawaDepartment of Emergency and Critical Care Medicine, St. Marianna University School of Medicine, Kanagawa 216-8511, Japan.
Nobuyuki SaitoDepartment of Emergency and Critical Care Medicine, Nippon Medical School, Chiba Hokusou Hospital, Chiba 270-1694, Japan.
Takayuki IraharaDepartment of Emergency and Critical Care Medicine, Nippon Medical School, Tama Nagayama Hospital, Tokyo 206-8512, Japan.
Hiroyuki YokotaDepartment of Emergency and Critical Care Medicine, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo 113-8603, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe features of early-phase acute respiratory distress syndrome (ARDS) are leakage of fluid into the extravascular space and impairment of its reabsorption, resulting in extravascular lung water (EVLW) accumulation. The current study aimed to identify how the initial EVLW values and their change were associated with mortality.

methodsThis was a post hoc analysis of the PiCCO Pulmonary Edema Study, a multicenter prospective cohort study that included 23 institutions. Single-indicator transpulmonary thermodilution-derived EVLW index (EVLWi) and conventional prognostic factors were prospectively collected over 48 h after enrollment. Associations between 28-day mortality and each variable including initial (on day 0), mean, maximum, and Δ (subtracting day 2 from day 0) EVLWi were evaluated.

resultsWe evaluated 192 ARDS patients (median age, 69 years (quartile, 24 years); Sequential Organ Failure Assessment (SOFA) score on admission, 10 (5); all-cause 28-day mortality, 31%). Although no significant differences were found in initial, mean, or maximum EVLWi, Δ-EVLWi was significantly higher (i.e., more reduction in EVLWi) in survivors than in non-survivors (3.0 vs. -0.3 mL/kg, p = 0.006). Age, maximum, and Δ-SOFA scores and Δ-EVLW were the independent predictors for survival according to the Cox proportional hazard model. Patients with Δ-EVLWi > 2.8 had a significantly higher incidence of survival than those with Δ-EVLWi ≤ 2.8 (log-rank test, χ (2) = 7.08, p = 0.008).

conclusionsDecrease in EVLWi during the first 48 h of ARDS may be associated with 28-day survival. Serial EVLWi measurements may be useful for understanding the pathophysiologic conditions in ARDS patients. A large multination confirmative trial is required.

Indexed as

Acute lung injuryHemodynamicsPulmonary edemaTranspulmonary thermodilutionVascular permeability

Identifiers

PMID25593743
PMCPMC4273855

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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.