Evidence map›Paper›PMID 33999651›Full record

ArticleJCO global oncology2021

Survival Outcomes of Newly Diagnosed Multiple Myeloma at a Tertiary Care Center in North India (IMAGe: 001A Study).

Uday Yanamandra, Rajni Sharma, Siddharth Shankar, Shikha Yadav, Rajan Kapoor, Suman Pramanik, Ankur Ahuja, Rajiv Kumar, Sanjeevan Sharma, Satyaranjan Das and 7 more

Open access · goldAbstract read
In one paragraph

Article in JCO global oncology, 2021. 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
1.8field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Clinical and Renal Outcomes in Multiple Myeloma with Involved Free Light Chains Exceeding 1000 mg/L at Diagnosis: Insights from an Indian Cohort.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2025
    Article
  2. Article
  3. 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

17 authors at 3 institutions in 1 country.

Uday YanamandraArmy Hospital (RR), Delhi, India.ORCID 0000-0002-0546-6585
Rajni SharmaArmy Hospital (RR), Delhi, India.
Siddharth ShankarIMAGe Research Scholar, Manipal Hospital, Delhi, India.
Shikha YadavArmy Hospital (RR), Delhi, India.
Rajan KapoorCommand Hospital (EC), Kolkata, India.ORCID 0000-0001-8426-0421
Suman PramanikArmy Hospital (RR), Delhi, India.
Ankur AhujaIMAGe Research Scholar, Manipal Hospital, Delhi, India.
Rajiv KumarCommand Hospital (AF), Bengaluru, India.
Sanjeevan SharmaCommand Hospital (CC), Lucknow, India.
Satyaranjan DasCommand Hospital (SC), Pune, India.
Tathagata ChatterjeeIMAGe Research Scholar, Manipal Hospital, Delhi, India.
Venkatesan SomasundaramIMAGe Research Scholar, Manipal Hospital, Delhi, India.
Tarun VermaArmy Hospital (RR), Delhi, India.
Kundan MishraArmy Hospital (RR), Delhi, India.ORCID 0000-0002-6325-2972
Jasjit SinghCommand Hospital (WC), Chandimandir, India.
Ajay SharmaArmy Hospital (RR), Delhi, India.
Velu NairArmy Hospital (RR), Delhi, India.
Army Hospital Research and Referral · INCommand Hospital · INManipal Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe outcomes of patients with myeloma from developing countries are often lacking because of poor record maintenance. Publications from such settings are also limited because of the retrospective nature of the data collection. Information technology can bridge these gaps in developing countries with real-time data maintenance. We present the real-time survival data of the patients with myeloma from a tertiary care center in North India using one such indigenously built software. PATIENTS AND

methodsThese are real-time data of all patients with myeloma presenting to a tertiary care center from North India. The patient characteristics (demographics, baseline disease characteristics, risk stratification, and outcomes) were recorded contemporaneously. The survival of the study population was analyzed and grouped based on various disease characteristics at diagnosis.

resultsThe median age of the study population (N = 696) was 65.9 (34.9-94.9) years with male predominance (65%). The median follow-up was 3.7 years (0-18.6 years) with the median overall survival (OS) not achieved. The OS of the study population at 1, 3, and 5 years was 94% (n = 558), 87.5% (n = 394), and 83.1% (n = 267), respectively. Most of the patients presented in advanced stages based on International Staging System (III:70%). On Kaplan-Meier analysis, the presence of weight loss (

conclusionThe real-world data show OS comparable with the published western literature. Only anemia was found to have significant impact on survival. The use of such software can aid in better data-keeping in resource-constrained settings.

Indexed as

Multiple MyelomaAgedAged, 80 and overHumansIndiaKaplan-Meier EstimateMaleRetrospective StudiesTertiary Care Centers

Identifiers

PMID33999651
PMCPMC8162976
OpenAlexW3162623698

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Registered trials

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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.