Evidence map›Paper›PMID 35059613›Full record

ArticleEClinicalMedicine2022

Predialysis serum lactate levels could predict dialysis withdrawal in Type 1 cardiorenal syndrome patients.

Heng-Chih Pan, Tao-Min Huang, Chiao-Yin Sun, Nai-Kuan Chou, Chun-Hao Tsao, Fang-Yu Yeh, Tai-Shuan Lai, Yung-Ming Chen, Vin-Cent Wu

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
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

9 authors at 3 institutions in 1 country.

Heng-Chih PanGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Tao-Min HuangDivision of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Chiao-Yin SunDivision of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan.
Nai-Kuan ChouDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Chun-Hao TsaoDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Fang-Yu YehDivision of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Tai-Shuan LaiDivision of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Yung-Ming ChenDivision of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Vin-Cent WuDivision of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
National Taiwan University Hospital · TWKeelung Chang Gung Memorial Hospital · TWNational Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRenal replacement therapy (RRT) is an effective rescue therapy for Type 1 cardiorenal syndrome (CRS). Previous studies have demonstrated that type 1 CRS patients with severe renal dysfunction were susceptible to sepsis, and that serum lactate has been correlated with the risk of mortality in patients with sepsis. However, the association between serum lactate level and the prognosis of type 1 CRS patients requiring RRT is unknown.

methodsAn inception cohort of 500 type 1 CRS patients who received RRT in a tertiary-care referral hospital in Taiwan from August 2011 to January 2018 were enrolled. The outcomes of interest were dialysis withdrawal and 90-day mortality. The results were further externally validated using sampling data of type 1 CRS patients requiring dialysis from multiple tertiary-care centers.

findingsThe 90-day mortality rate was 52.8% and the incidence rate of dialysis withdrawal was 34.8%. Lower pre-dialysis lactate was correlated with a higher rate of dialysis withdrawal and lower rate of mortality. Generalized additive model showed that 4.2 mmol/L was an adequate cut-off value of lactate to predict mortality. Taking mortality as a competing risk, Fine-Gray subdistribution hazard analysis further indicated that a low lactate level (≦ 4.2 mmol/L) was an independent predictor for the possibility of dialysis withdrawal, as also shown in external validation. The interaction of quick Sequential Organ Failure Assessment score and lactate was associated with dialysis dependence in a disease severity-dependent manner. Furthermore, the associations between hyperlactatemia and dialysis dependence were consistent in the patients with and without sepsis.

interpretationSerum lactate level is accurate and capable of forecasting the prognosis along with qSOFA severity for clinical decision-making for treating type 1 CRS patients. Further studies are needed to validate our results.

fundingThis study was supported by grants from Taiwan National Science Council [104-2314-B-002-125-MY3,106-2314-B-002-166-MY3,107-2314-B-002-026-MY3], National Taiwan University Hospital [106-FTN20,106-P02,UN106-014,106-S3582,107-S3809,107-T02,PC1246,VN109-09,109-S4634,UN109-041], Ministry of Science and Technology of the Republic of China [MOST106-2321-B-182-002,106-2314-B-182A-064,MOST107-2321-B-182-004,MOST107-2314-B-182A-138, MOST108-2321-B-182-003,MOST109-2321-B-182-001, MOST108-2314-B-182A-027], Chang Gung Memorial Hospital [CMRPG-2G0361,CMRPG-2H0161,CMRPG-2J0261, CMRPG-2K0091], and Ministry of Health and Welfare of the Republic of China [PMRPG-2L0011].

Indexed as

Prognosisrenal replacement therapyserum lactateType 1 cardiorenal syndromewithdrawal

Identifiers

PMID35059613
PMCPMC8760464
OpenAlexW4206574978

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.