Evidence map›Paper›PMID 32958723›Full record

ArticleKidney research and clinical practice2020

Drug treatment patterns and work productivity in chronic kidney disease patients with anemia in China: Cross sectional analysis of real-world data.

Heleen van Haalen, James Sloand, Rebecca Moon, Eirini Palaka, Gary Milligan, Alaster Allum, James Jackson

Abstract read
In one paragraph

Article in Kidney research and clinical practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline 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

7 authors.

Heleen van HaalenAstraZeneca, Gothenburg, Sweden.ORCID https://orcid.org/0000-0002-4001-0006
James SloandAstraZeneca, Gaithersburg, MD, USA.ORCID https://orcid.org/0000-0001-7948-9547
Rebecca MoonAdelphi Real World, Bollington, UK.ORCID https://orcid.org/0000-0002-8934-500X
Eirini PalakaAstraZeneca, Cambridge, UK.ORCID https://orcid.org/0000-0003-1817-1695
Gary MilliganAdelphi Real World, Bollington, UK.ORCID https://orcid.org/0000-0002-1427-3339
Alaster AllumAstraZeneca, Cambridge, UK.ORCID https://orcid.org/0000-0003-0139-821X
James JacksonAdelphi Real World, Bollington, UK.ORCID https://orcid.org/0000-0002-4171-5390

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe explored the association of anemia severity in patients with chronic kidney disease (CKD) and anemia treatment with work productivity in China.

methodsCross-sectional survey data from Chinese physicians and their CKD patients were collected in 2015. Physicians recorded demographics, disease characteristics, and treatment. Patients completed the Work Productivity and Activity Impairment questionnaire. Data were stratified by dialysis-dependence, hemoglobin (Hb) level, and anemia treatment.

resultsBased on data from 1,052 patients (704 non-dialysis-dependent [NDD] and 348 dialysis-dependent [DD] patients), prescribed anemia treatment differed significantly across Hb levels (

conclusionApproximately 40% of NDD patients and 60% of DD patients receiving anemia treatment had Hb < 10 g/dL. Compared with mild anemia patients, severe anemia patients were more likely to be treated for anemia and have impaired work productivity. Chinese CKD patients could benefit from improved anemia treatment.

Indexed as

AnemiaChinaChronic kidney diseasesHematinicsIronObservational study

Identifiers

PMID32958723
PMCPMC7530353

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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.