Evidence map›Paper›PMID 25861152›Full record

ArticleDisease markers2015

Serum metabolites as potential biomarkers for diagnosis of knee osteoarthritis.

Qingmeng Zhang, Heng Li, Zhendong Zhang, Fan Yang, Jiying Chen

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 4 pooled it
5.1field-weighted citation impact, top 5% 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

29 citing papers in PubMed, 4 syntheses or guidelines pooled it, 52 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

5 authors at 1 institution in 1 country.

Qingmeng ZhangDepartment of Orthopedics, The General Hospital of Chinese Army, Beijing 100853, China.
Heng LiDepartment of Orthopedics, The General Hospital of Chinese Army, Beijing 100853, China.
Zhendong ZhangDepartment of Orthopedics, The General Hospital of Chinese Army, Beijing 100853, China.
Fan YangDepartment of Orthopedics, The General Hospital of Chinese Army, Beijing 100853, China.
Jiying ChenDepartment of Orthopedics, The General Hospital of Chinese Army, Beijing 100853, China.
The Military General Hospital of Beijing PLA · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knee osteoarthritis (OA) is a highly prevalent chronic degenerative joint disease that mainly affects the elderly population. The aim of this study was to investigate serum signature metabolites as potential biomarkers for early diagnosis of knee OA. Global serum metabolic profiles of 40 patients with knee OA and 20 healthy controls (HC) were analyzed by ultra-performance liquid chromatography coupled to mass spectrometry. An OA-specific metabolic profile was established that can clearly discriminate patients with OA from HCs. Fourteen metabolites that are involved in the metabolism of amino acids, purine, energy, glycolysis, fatty acids, and lipids were significantly altered in patients with OA compared to HCs. These metabolites could be potentially used as biomarkers for the diagnosis of knee OA.

Indexed as

AgedAmino AcidsBiomarkersCase-Control StudiesFatty AcidsFemaleHumansMaleMiddle AgedOsteoarthritis, KneeAmino AcidsBiomarkersFatty Acids

Identifiers

PMID25861152
PMCPMC4378325
OpenAlexW2024759250

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.