Evidence map›Paper›PMID 24121818›Full record

ArticleWorld journal of urology2014

Prevalence of baseline chronic kidney disease in 2,769 Chinese patients with renal cancer: nephron-sparing treatment is still underutilized.

Kai-wei Yang, Geng-yan Xiong, Xue-song Li, Yuan Tang, Qi Tang, Cui-jian Zhang, Zhi-song He, Li-qun Zhou

Abstract read
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In one paragraph

Article in World journal of urology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 89% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Meta-analysis of the Relationship between Type 2 Diabetes Mellitus and Renal Cancer Risk.Endocrine, metabolic & immune disorders drug targets · 2024
    Pooled it
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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

8 authors at 2 institutions in 1 country.

Kai-wei Yang
Geng-yan Xiong
Xue-song Li
Yuan Tang
Qi Tang
Cui-jian Zhang
Zhi-song He
Li-qun Zhou
Peking University First Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the prevalence of baseline chronic kidney disease (CKD) in a large cohort of patients with renal masses in a single Chinese institution. Estimated glomerular filtration rate (eGFR) and CKD stage are more clinically relevant to predict the risk of morbidity and mortality in patients after nephrectomy. But, sCr reflects renal function poorly.

methodsWe retrospectively identified patients undergoing kidney surgery between January 2002 and June 2012. eGFR was calculated using the modification of diet in renal disease formulas modified based on Chinese people. CKD stages I–V were defined using the National Kidney Foundation definitions.

resultsA total of 2769 patients had adequate data available to calculate a preoperative eGFR (mL/min/1.73m2) with renal cancer confirmed by pathology. Of all patients, 97.7 % awaiting surgery at our institution had a “normal” baseline sCr (≤1.4 mg/dL), and 3.2 % of patients had CKD stage III or worse. Of the 401 patients ≥70 years old, 16.7 % (67/401) had CKD stage III.

conclusionMany patients with a seemingly normal sCr have CKD stage III or worse, especially in patients over 70 years old. Given the high prevalence of baseline CKD in patients with renal cancer, it is important to preserve renal parenchyma when treating them surgically.

Indexed as

Asian PeopleAdolescentAdultAgedAged, 80 and overCreatinineFemaleGlomerular Filtration RateHumansKidneyKidney NeoplasmsMaleMiddle AgedNeoplasm StagingNephrectomyNephronsCreatinine

Identifiers

PMID24121818
OpenAlexW2019348979

What OpenQuestion holds

Textmetadata
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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.