Evidence map›Paper›PMID 9673230›Full record

ArticleInfection and immunity1998

Levels of inhibitors of tumor necrosis factor alpha and interleukin 1beta in urine and sera of patients with urosepsis.

D P Olszyna, J M Prins, B Buis, S J van Deventer, P Speelman, T van der Poll

Open access · bronzeAbstract read
In one paragraph

Article in Infection and immunity, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 18 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

6 authors at 2 institutions in 1 country.

D P OlszynaDepartment of Internal Medicine, Division of Infectious Diseases, Tropical Medicine and AIDS, University of Amsterdam, Amsterdam, The Netherlands. dariuszolszyana@rocketmail.com
J M Prins
B Buis
S J van Deventer
P Speelman
T van der Poll
University of Amsterdam · NLAcademic Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The antiinflammatory cytokine response during urosepsis was determined by measurement of concentrations of soluble tumor necrosis factor receptor (sTNFR) types I and II, interleukin 1 receptor antagonist (IL-1ra), soluble IL-1 receptor type II (sIL-1RII), and interleukin 10 in sera and urine of 30 patients with culture-proven urinary tract infections before and 4, 24, 48, and 72 h after initiation of antibiotic therapy and in 20 healthy individuals. In serum, the levels of sTNFR types I and II, IL-1ra, and IL-10 were higher in patients than in controls. In urine, only sTNFR type I and II levels were elevated in patients. The ratios of concentrations of both types of sTNFR in urine to concentrations in serum were higher in patients than in controls. These findings indicate that during urosepsis, the antiinflammatory cytokine response is generated predominantly at the systemic level.

Indexed as

AdultAntigens, CDBacteremiaEscherichia coli InfectionsHumansInterleukin-1Interleukin-10Interleukin 1 Receptor Antagonist ProteinPseudomonas InfectionsPyuriaReceptors, Interleukin-1Receptors, Tumor Necrosis FactorReceptors, Tumor Necrosis Factor, Type IReceptors, Tumor Necrosis Factor, Type IISialoglycoproteinsTumor Necrosis Factor-alphaAntigens, CDIL1RN protein, humanInterleukin-1Interleukin-10Interleukin 1 Receptor Antagonist ProteinReceptors, Interleukin-1Receptors, Tumor Necrosis FactorReceptors, Tumor Necrosis Factor, Type IReceptors, Tumor Necrosis Factor, Type IISialoglycoproteinsTumor Necrosis Factor-alpha

Identifiers

PMID9673230
PMCPMC108383
OpenAlexW2164651081

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.