Evidence map›Paper›PMID 35086422›Full record

ArticleRenal failure2022

The estimation of protein equivalents of total nitrogen in Chinese CAPD patients: an explanatory study.

Chunyan Su, Tao Wang, Peiyu Wang, Xinhong Lu, Wen Tang

Open access · goldAbstract read
In one paragraph

Article in Renal failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Chunyan SuDivision of Nephrology, Peking University Third Hospital, Beijing, China.
Tao WangDivision of Nephrology, Peking University Third Hospital, Beijing, China.
Peiyu WangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China.
Xinhong LuDivision of Nephrology, Peking University Third Hospital, Beijing, China.
Wen TangDivision of Nephrology, Peking University Third Hospital, Beijing, China.
Peking University · CNPeking University Third Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe protein equivalent of total nitrogen appearance (PNA) formula, based on the urea nitrogen appearance (UNA), is popularly used by stable continuous ambulatory peritoneal dialysis (CAPD) patients to estimate dietary daily protein intake (DPI). However, we found that the estimated DPI was higher than that directly evaluated from the dietary records of most of our CAPD patients. Therefore, in the present study, we tried to determine possible bias in PNA estimation by UNA with a nitrogen balance study of our CAPD patients.

methodsThirty-one CAPD patients with stable clinical conditions were included. Their 3-day dietary records were reviewed by a dedicated dietitian to calculate their energy, protein, and nitrogen intake (NI). The nitrogen removal (NR) from urine and dialysate was measured by the Kjeldahl technique. Then, we calculated the proportion of urea nitrogen appearance (UNA) in total nitrogen appearance (TNA) and analyzed the possible factors that could affect this proportion.

resultsAmong these patients, 17 males and 14 females, the mean age was 64.19 ± 12.42, and the dialysate drainage volume was 6700 (2540) ml/day. The percentage of UNA in TNA was 63.22 ± 6.66%. Compared with the other classic nitrogen balance studies in the CAPD population, the protein nitrogen and other nonurea nitrogen losses in this study were all lower. Based on these 31 nitrogen balance studies, we proposed a pair of new equations to estimate PNA by UNA. (1) PNA = 9.3 + 7.73 UNA; (2) PNA = PNPNA + TPL = 6.7 + 7.28 UNA + TPL.

conclusionOur study suggested that the PNA formula generated from previous European studies overestimated DPI in our CAPD patients.

Indexed as

Blood Urea NitrogenDietary ProteinsPeritoneal Dialysis, Continuous AmbulatoryAgedFemaleHumansKidney Failure, ChronicLinear ModelsMaleMiddle AgedNitrogenDietary ProteinsNitrogencontinuous ambulatory peritoneal dialysis (CAPD)dietary protein intake (DPI)protein equivalent of total nitrogen appearance (PNA)Urea nitrogen appearance (UNA)

Identifiers

PMID35086422
PMCPMC8815777
OpenAlexW4210427538

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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.